Search Results for author:
Found 5 papers, 0 papers with code
EAFP-Med: An Efficient Adaptive Feature Processing Module Based on Prompts for Medical Image Detection
EAFP-Med can efficiently extract lesion features from various medical images based on prompts, enhancing the model's performance.
Review of AlexNet for Medical Image Classification
In recent years, the rapid development of deep learning has led to a wide range of applications in the field of medical image classification.
TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis
Five indexes are selected in this paper, which are accuracy, sensitivity, precision, F1-score, and specificity.
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis
Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate.
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images
High-level features from ASPP and initial low-level features are concatenated at the third stage and then passed to the fourth stage where spatial information is recovered via up-sampling to produce final image segmentation output into: i) background, ii) heart muscle, iii) blood and iv) scar areas.
