Deep learning based analysis of histopathological images of breast cancer
Breast cancer is associated with the highest morbidity rates for cancer diagnoses in the
world and has become a major public health issue. Early diagnosis can increase the chance …
world and has become a major public health issue. Early diagnosis can increase the chance …
FabNet: A features agglomeration-based convolutional neural network for multiscale breast cancer histopathology images classification
MS Amin, H Ahn - Cancers, 2023 - mdpi.com
Simple Summary Histology sample images are usually diagnosed definitively based on the
radiologist's extensive knowledge, yet, owing to the highly gritty visual appearance of such …
radiologist's extensive knowledge, yet, owing to the highly gritty visual appearance of such …
Improved outcome prediction across data sources through robust parameter tuning
In many application areas, prediction rules trained based on high-dimensional data are
subsequently applied to make predictions for observations from other sources, but they do …
subsequently applied to make predictions for observations from other sources, but they do …
[PDF][PDF] FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification. Cancers (Basel) …
MS Amin, H Ahn - 2023 - academia.edu
The definitive diagnosis of histology specimen images is largely based on the radiologist's
comprehensive experience; however, due to the fine to the coarse visual appearance of …
comprehensive experience; however, due to the fine to the coarse visual appearance of …
Improved outcome prediction across data sources through robust parameter tuning
In many application areas, prediction rules trained based on high-dimensional data are
subsequently applied to make predictions for observations from other sources, but they do …
subsequently applied to make predictions for observations from other sources, but they do …