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Search results for: mammary gland tumours
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Molecular differences in mitochondrial DNA genomes of dogs with malignant mammary tumours
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JOURNAL OF MAMMARY GLAND BIOLOGY AND NEOPLASIA
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Analysis of Mitochondrial Genome from Labrador (Canis lupus familiaris) with Mammary Gland Tumour Reveals Novel Mutations and Polymorphisms
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Regarding “Accuracy, predictability and prognostic implications of fine‐needle aspiration biopsy for parotid gland tumours: A retrospective case series”
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BREAST, Mammary gland - Female, 18 - Tissue image [5180730014266501]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 55 - Tissue image [5230730013276271]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 55 - Tissue image [5230730013279361]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 55 - Tissue image [5230730013278571]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 55 - Tissue image [5230730013272081]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013279871]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013286241]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013281441]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013284131]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013273471]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013273641]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013276481]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013288221]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013287741]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013278771]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013282341]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013274751]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013286141]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013274161]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013282511]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [523073001327921]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013286881]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 65 - Tissue image [5230730013279881]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013272421]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [5230730013273651]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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BREAST, Mammary gland - Female, 46 - Tissue image [523073001327161]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
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Development of Sulfamoylated 4‑(1-Phenyl‑1H‑1,2,3-triazol-4-yl)phenol Derivatives as Potent Steroid Sulfatase Inhibitors for Efficient Treatment of Breast Cancer
PublicationWe present here the advances achieved in the development of new sulfamoylated 4-(1-phenyl-1H-1,2,3-triazol-4-yl)phenol derivatives as potent steroid sulfatase (STS) inhibitors for the treatment of breast cancer. Prompted by promising biological results and in silico analysis, the initial series of similar compounds were extended, appending a variety of m-substituents at the outer phenyl ring. The inhibition profiles of the newly...
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Hypericum alpestre extract exhibits in vitro and in vivo anticancer properties by regulating the cellular antioxidant system and metabolic pathway of L‐arginine
PublicationConventional treatment methods are not effective enough to fight the rapid increase in cancer cases. The interest is increasing in the investigation of herbal sources for the development of new anticancer therapeutics. This study aims to investigate the antitumor capacity of Hypericum alpestre (H. alpestre) extract in vitro and in vivo, either alone or in combination with the inhibitors of the L‐arginine/polyamine/nitric oxide...
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Fluoride and Pineal Gland
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Gland Surgery
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Significance of Dermoscopy in Association with Clinical Features in Differentiation of Basal Cell Carcinoma and Benign Trichoblastic Tumours
PublicationBackground: Although basal cell carcinoma (BCC) can, in the majority of cases, be diagnosed based on clinical and dermoscopic assessment, a potential overlap with benign adnexal skin tumours seems to exist, including trichoblastic tumours (TT). Methods: Retrospective analysis of clinical and dermoscopic features of benign TT and BCC cases was performed to develop a diagnostic algorithm with a potential utility in clinical practice....
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Metastasis of the testicular germ cell tumors to the parotid gland
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Do we need a new classification of parotid gland surgery?
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Preclinical [18F]tetrafluoroborate-PET/CT imaging of pituitary gland hyperplasia
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Biochemical properties of thyroid peroxidase (TPO) expressed in human breast and mammary-derived cell lines
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Molecular Diagnostics of Brain Tumours by Measuring the 5-Methylcytosine Level in Their DNA
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Defect in Mitochondrial NADH-Dehydrogenase Genes in Canine Mast Cell Tumours
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Regarding the “Tumour spillage of the pleomorphic adenoma of the parotid gland: A proposal for intraoperative measures”
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Regarding the concurrent presence of secretory carcinoma and Warthin’s tumor in the ipsilateral parotid gland
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New Perspectives for the Use of Potentilla alba Rhizomes to Treat Thyroid Gland Impairments
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Survivin expression in invasive pituitary gland adenomas with a diameter exceeding 20 mm
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Segmentation-Based BI-RADS Ensemble Classification of Breast Tumours in Ultrasound Images
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The aberrant overexpression of vimentin is linked to a more aggressive status in tumours of the gastrointestinal tract
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Wilms’ tumour-the reality of tissue analysis in the Polish Paediatric Solid Tumours Group
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Foetal haemoglobin-blood cells (F-cells) as a feature of embryonic tumours (blastomas)
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Segmentation-Based BI-RADS ensemble classification of breast tumours in ultrasound images
PublicationBackground: The development of computer-aided diagnosis systems in breast cancer imaging is exponential. Since 2016, 81 papers have described the automated segmentation of breast lesions in ultrasound images using arti- ficial intelligence. However, only two papers have dealt with complex BI-RADS classifications. Purpose: This study addresses the automatic classification of breast lesions into binary classes (benign vs. ma- lignant)...