[HTML][HTML] Segmentation of diabetic retinopathy images using deep feature fused residual with U-Net
M Alharbi, D Gupta - Alexandria Engineering Journal, 2023 - Elsevier
Diabetic Retinopathy (DR) is a highly consequential condition that significantly impacts
individuals with diabetes, often resulting in permanent vision loss if left undetected. The …
individuals with diabetes, often resulting in permanent vision loss if left undetected. The …
iProm-Sigma54: A CNN Base Prediction Tool for σ54 Promoters
The sigma (σ) factor of RNA holoenzymes is essential for identifying and binding to promoter
regions during gene transcription in prokaryotes. σ 54 promoters carried out various …
regions during gene transcription in prokaryotes. σ 54 promoters carried out various …
Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations
AA Shah, F Alturise, T Alkhalifah, YD Khan - Digital Health, 2022 - journals.sagepub.com
The abnormal growth of human healthy cells is called cancer. One of the major types of
cancer is sarcoma, mostly found in human bones and soft tissue cells. It commonly occurs in …
cancer is sarcoma, mostly found in human bones and soft tissue cells. It commonly occurs in …
Attention-enhanced DeepRetiNet for robust hard exudates detection in diabetic retinopathy
P Chellaswamy, CJRNR Kamalam - Biomedical Signal Processing and …, 2025 - Elsevier
One of the most vital signs of diabetic retinopathy is Hard Exudates (HEs). Thus, it is
clinically prominent to detect these HEs in the early stage. Traditional techniques face …
clinically prominent to detect these HEs in the early stage. Traditional techniques face …
A Context for Effective Prediction and Classification of Diabetic Retinopathy Disease using Deep Ensemble AlexNet & LeNet Classifier
Typically, Diabetes is regarded as a metabolic disorder which aids in retinal complications
termed Diabetic Retinopathy (DR) which is regarded as a major reason for blindness over …
termed Diabetic Retinopathy (DR) which is regarded as a major reason for blindness over …
A Target Extraction Algorithm Based on Polarization Image Attention Mechanism
J Zhou, F Fei, Z Wang, C Nie - International Conference on Artificial …, 2022 - Springer
Polarization images can highlight the reflection attribute of the target and enhance the
display effect of the target boundary on the images. More comprehensive target attributes …
display effect of the target boundary on the images. More comprehensive target attributes …
[引用][C] iProm-Sigma54: A CNN Base Prediction Tool for 7 54 Promoters. Cells 2023, 12, 829
The sigma (7) factor of RNA holoenzymes is essential for identifying and binding to promoter
regions during gene transcription in prokaryotes. 7 54 promoters carried out various …
regions during gene transcription in prokaryotes. 7 54 promoters carried out various …