Combination of Image Enhancement and Double U-Net Architecture for Liver Segmentation in CT-Scan Images
Liver cancer can be identified using CT-Scan liver image segmentation. Liver segmentation
can be performed using CNN architecture like U-Net. However, the segmentation results …
can be performed using CNN architecture like U-Net. However, the segmentation results …
A Semantic Segmentation of Nucleus and Cytoplasm in Pap-smear Images using Modified U-Net Architecture
M Arhami, H Hendrawaty, A Adriana - JURNAL …, 2024 - ejournal.ittelkom-pwt.ac.id
Pap-smear images can help early detection of cervical cancer, but the manual interpretation
by a pathologist can be time-consuming and prone to human error. Semantic segmentation …
by a pathologist can be time-consuming and prone to human error. Semantic segmentation …
Classification of Various Stage of Diabetic Retinopathy Using Yolov7 Deep Neural Network
MM Vespa, BF Stanley - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a prevalent retinal vascular condition that can lead to
significant visual impairment. The early classification of DR and precise grading of DR are …
significant visual impairment. The early classification of DR and precise grading of DR are …
[引用][C] Deep Laerning-based Method for Automated Early Diabetic Retinopathy Prediction
I KELLIL - 2023 - dspace.univ-tebessa.dz
Diabetic Retinopathy (DR) is a leading cause of blindness worldwide, which requiresearly
detection to prevent severevisualim pairment. Different techniques and systems have been …
detection to prevent severevisualim pairment. Different techniques and systems have been …