AI Blends Deep and Handcrafted Features to Spot Lung and Colon Cancer with 99.4% Accuracy
Researchers have developed an explainable ensemble learning framework that fuses deep CNN features with handcrafted HOG and LBP descriptors to ...
Researchers have developed an explainable ensemble learning framework that fuses deep CNN features with handcrafted HOG and LBP descriptors to ...
A new case report from Yemen describes an extremely rare coexistence of necrotizing fasciitis and myiasis in a 38-year-old diabetic ...
Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...
A first-of-its-kind immunohistochemical study reports that cortisol-producing adrenal adenomas display significantly stronger apelin staining than normal adrenal cortex, while VEGF ...
Researchers in Pakistan trained deep learning models to distinguish four histopathologically similar inflammatory skin diseases with up to 96.67 percent ...
A comprehensive new review in Neural Computing and Applications charts how machine learning and deep learning are transforming lymphoma diagnosis ...
A study of 602 skin biopsies found Demodex mites in 23.6 percent of malignant lesions versus 10.5 percent of benign ...
Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...
A retrospective study of 162 patients found ChatGPT-5 matched or exceeded the Alvarado score in diagnosing acute appendicitis, while revealing ...
A new study compares federated averaging, decentralized gossip learning, and a hybrid of the two for classifying invasive ductal carcinoma ...
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© 2025 Scienmag - Science Magazine