… of machine learning technology, deep learning has gradually … feature selection to
detect mitosis in histopathological breast … using a hybrid deep neural network[J].Methods,2020,173(2):…

… Deep learning cascaded feature selection framework for breast cancer classification:
hybrid CNN with univariate-based approach [J]. Mathematics, 2022, 10(19): 3631. [54] …

… improve radiologists' performance in breast cancer screening[… Automatic cataract classification
using deep neural network … A hybrid deep resNet and inception model for hyperspectral …

… Deep neural networks: A new framework for modeling biological vision and brain
information processing. Annual Review of Vision Science, 2015, 1: 417-446 doi: 10.1146/annurev-…

… ⁃ tion,especially the introduction of deep learning methods,has … in breast cancer histology
images via deep cascaded … detection method based on hybrid anchor branch. Biomedical …

… and classification. This article first elaborates on the application of deep learning algorithms
in thyroid ultrasound image segmentation, feature extraction, and classification differentiation…

… Radiomics is a combination of conventional computer-aided diagnosis, deep learning
methods, and human skills, and thus can be used for quantitative characterization of tumour …

… of deep learning methods in mitosis detection of breast cancer. … in breast cancer histology
images via deep cascaded networks … nuclei detection method based on hybrid anchor branch. …

… evaluation for thyroid and breast cancer. However, dules are … In this paper, the hnologies in
thyroid and breast ultrasound … segmentation, feature extraction and classification. algorithms, …

… tongue image classification methods based on deep learning. … framework of Chinese medicine
tongue color classification … physique identification using hybrid deep learning methods[J]. …