… detection of plasmodium and mycobacterium tuberculosis. This paper proposes an improved
faster R-CNN-based algorithm … Firstly, the proposed algorithm addes a convolutional filter …

… For this purpose, an end-to-end deep learning network is proposed to automatically
estimate Alpha mask of human body foreground in captured images, where a large number of …

… For doctors, labeling calcified plaques from a large number of CT medical … medical image
processing technology with deep learning to develop a coronary artery calcification detection …

… Pathological diagnosis is the gold standard for cancer diagnosis. The digitalization of … in
deep learning have made computer-aided diagnosis and prediction about prognosis possible. In …

… women, computer-aided breast tumor detection technology faced on mammogram can help
radiologists to detect breast lesions early. Breast tumor detection (BTD) algorithm on fusion …

… image processing by computer-aided technology (CAD) to show the subtle differences
between benign and malignant thyroid nodules to ease the differential diagnosis of thyroid …

… algorithms have been adopted in computer-aided diagnosis (CAD). The U-shape structure
has been designed for medical … The deep learning framework Pytorch have been used on a …

… diagnose the nature of the disease. Therefore, it is very important to develop an automated
lung computer-aided detection … The main dif-ference is that the proposed algorithm uses the …

… Department of Dermatology, the Sixth Medical Center of … to be solved for computer-aided
detection of melanoma based on … lesions through supervised and deep learning algorithms[J]. …