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 ...
Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...
A new dosimetry study links long-term human lung doses of diesel exhaust nanoparticles to the lung tumor responses observed in ...
Weill Cornell Medicine's Dr. Olivier Elemento has won a nearly $6 million NIH Director's Pioneer Award to build an AI-human ...
A Dutch registry study finds the number of patients living long-term with de novo metastatic incurable cancer more than quadrupled ...
A retrospective study of 32 patients shows that contrast-enhanced ultrasound guidance can delineate tumors hidden within collapsed lung tissue and ...
Machine-learning models combining clinical data and chest CT report features can probabilistically classify lung cancer subtypes in patients presenting with ...
A UK cohort study of more than 50,000 people finds that most cancer patients already have multiple other chronic conditions ...
A case report describes a 57-year-old woman with a giant intrapulmonary solitary fibrous tumour exceeding 16 centimetres, complicated by suspected ...
A new study finds that the vesicle-trafficking SNARE protein YKT6 is overexpressed in lung cancer, where it drives proliferation and ...
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© 2025 Scienmag - Science Magazine