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Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks found widespread use for the aim of extracting important features from histopathologic BC images
Improved Breast Cancer Classification through Combining Transfer Learning and Attention Mechanism histopathological image classification. It leverages modified pre-trained CNN models and attention mechanisms
Bag of Deep Features for Classification of Gigapixel Histological Images. However, histopathological images not only show a very high resolution, but also contain a lot
Histopathology in Iraq: Reliable diagnostics in spite of shortagesHistopathology in Iraq: Reliable diagnostics in spite of shortages
One-year experience of government-funded magnetic resonance imaging prior to prostate biopsy: A case for omitting biopsy in men with a negative magnetic resonance imaging imaging (mpMRI) as an adjunct to prostate biopsy, and to assess the effect of the new Australian Medicare
INSTRUMENTAL AND CLINICAL DIAGNOSIS OF INTERDIGITAL NEUROMA as high sensitivity makes magnetic resonance imaging an important diagnostic tool in the diagnosis
Histopathological and cytological diagnostics: A view from RussiaHistopathological and cytological diagnostics: A view from Russia
3D Mueller matrix reconstruction of the optical anisotropy parameters of myocardial histopathology tissue samples that reconstructs the linear and circular birefringence and dichroism parameters has been developed to image
Transrectal ultrasound and computed tomography in preoperative staging of lower rectal adenocarcinoma of these preoperative examinations were compared with postoperative histopathological findings. TRUS had an accuracy
Caroli syndrome: a clinical case with detailed histopathological analysis syndrome caused by the compound heterozygous mutation in the PKHD1 gene. Histopathological assessment
Страница 1 из 1960
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