Architectures and applications of U-net in medical image segmentation: a review
J Wang, L Han, D Ran - 2023 9th International Symposium on …, 2023 - ieeexplore.ieee.org
Recently, with the increasing application of deep learning in the medical field, convolutional
neural networks, represented by U-Net, has been widely applied in medical image …
neural networks, represented by U-Net, has been widely applied in medical image …
[HTML][HTML] Strategies for classifying water quality in the Cauvery River using a federated learning technique
Artificial intelligence methods are emerging techniques used in the field of environmental
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …
DCFU‐Net: Rethinking an Effective Attention and Convolutional Architecture for Retinal Vessel Segmentation
Y Xian, G Zhao, X Chen, C Wang - International Journal of …, 2025 - Wiley Online Library
Morphological changes in retinal vessels are early indicators of cardiovascular and various
fundus diseases. However, accurately segmenting thin blood vessels remains a challenge …
fundus diseases. However, accurately segmenting thin blood vessels remains a challenge …
Technique for breast cancer classification using semi-supervised deep convolutional neural networks with transfer learning models.
RK Mani, J Kamalakannan - Current Science (00113891), 2023 - search.ebscohost.com
Breast cancer affects several women worldwide every year. The survival rate of breast
cancer depends on numerous factors. Early diagnosis and treatment are the most practical …
cancer depends on numerous factors. Early diagnosis and treatment are the most practical …
A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning features
Y Chen, Z Chen, Y Liu - arXiv preprint arXiv:2405.16235, 2024 - arxiv.org
Abnormalities in retinal fundus images may indicate certain pathologies such as diabetic
retinopathy, hypertension, stroke, glaucoma, retinal macular edema, venous occlusion, and …
retinopathy, hypertension, stroke, glaucoma, retinal macular edema, venous occlusion, and …
Computer-aided diagnosis using white shark optimizer with attention-based deep learning for breast cancer classification
RK Chandana Mani… - Journal of Intelligent & …, 2023 - content.iospress.com
Breast cancer (BC) is categorized as the most widespread cancer among women throughout
the world. The earlier analysis of BC assists to increase the survival rate of the disease. BC …
the world. The earlier analysis of BC assists to increase the survival rate of the disease. BC …
Deformable element-wise dynamic convolution
The shape and values of a typical static convolution kernel remain fixed once the network is
trained. Recently, dynamic convolutions were proposed to change the kernel's values …
trained. Recently, dynamic convolutions were proposed to change the kernel's values …
A Deep Dive into Optic Disc and Cup Segmentation for Glaucoma Diagnosis with Deep Learning
BS Abraham, DG Bhanu, A Thomas… - … on Emerging Research …, 2023 - ieeexplore.ieee.org
High intraocular pressure leads to glaucoma, a disease that affects the retina and damages
the optic nerve head, causing vision loss if left untreated. Early diagnosis is key to reducing …
the optic nerve head, causing vision loss if left untreated. Early diagnosis is key to reducing …
[PDF][PDF] International Journal of Cognitive Computing in Engineering
S Rangarajan - researchgate.net
Artificial intelligence methods are emerging techniques used in the field of environmental
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …
protection, especially in the analysis of air, water, and soil quality. AI analyzes vast amounts …