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Found 4 papers, 1 papers with code
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
Mammography and ultrasound are extensively used by radiologists as complementary modalities to achieve better performance in breast cancer diagnosis.
Labeling of Multilingual Breast MRI Reports
Medical reports are an essential medium in recording a patient's condition throughout a clinical trial.
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
The proposed method is validated quantitatively and qualitatively, and compares favorably against state-of-the-art MRNet while using a single imaging stack (axial or coronal) as input.
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings
The algorithm consists of four steps: 1) computation of an initial region of interest (ROI) that includes the pelvic joints region using heuristics and a U-Net classifier; 2) refinement of the ROI to detect both sacroiliac joints using a four-tree random forest; 3) individual sacroiliitis grading of each sacroiliac joint in each CT slice with a custom slice CNN classifier, and; 4) sacroiliitis diagnosis and grading by combining the individual slice grades using a random forest.
