Deciding whether to administer chemotherapy after surgery is one of the most challenging questions in early-stage breast cancer care. While chemotherapy can reduce the risk of recurrence, most ...
The integration of imaging and artificial intelligence has radically transformed the landscape of radiotherapy, positioning advanced imaging modalities such ...
Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
For its 2nd anniversary, Callisto DataHub offers free annotated datasets of 50 suspected lung cancer X-rays and 50 prostate cancer MRI cases for commercial use. SHINJUKU, TOKYO, JAPAN, March 27, 2026 ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Abstract: CT scan is the most popular technology used for diagnosis of pancreatic diseases. Due to the sedentary lifestyle the pancreatic diseases are rising in the population. Chances of developing ...
Abstract: In this study, transfer learning using EfficientNetV2-S as the backbone architecture for automated lung cancer diagnosis is proposed. Taking advantage of pre-trained weights learned on ...
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