IEEE

SAFH-Net: A Hybrid Network With Shuffle Attention and Adaptive Feature Fusion for Enhanced Retinal Vessel Segmentation

Abstract: Segmenting retinal blood vessels is critical for the early detection of retinal abnormalities. While significant progress has been achieved in vessel segmentation through deep learning ...
IEEE

MCBL-UNet: A Hybrid Mamba-CNN Boundary Enhanced Light-weight UNet for Placenta Ultrasound Image Segmentation

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...
IEEE

Automated Glaucoma Detection Using Vision Transformers and Capsule Networks: A Deep Learning Approach for Early Diagnosis from Retinal Fundus Images

Abstract: It is well known that glaucoma leads not only to visual impairment but also to total blindness, making its diagnosis very important in preserving the vision of affected patients. In this ...
IEEE

Dual-Mamba: A Hybrid CNN-Mamba Architecture for Tumor Segmentation from 3D Medical Images

Accurate tumor segmentation in 3D medical images is essential for early cancer diagnosis and treatment. Despite the significant potential of deep learning-based segmentation methods, the morphological ...
IEEE

Retinal Blood Vessel Image Segmentation Method Based on Improved U-Net

Abstract: The observation of retinal vessel morphology helps to evaluate both ocular and systemic vascular diseases. Therefore, the task of retinal vessel segmentation holds high clinical value and is ...
IEEE

Retinal Disease Classification Using AI: A novel CapsNet-Vgg16 architecture

Abstract: Macular Holes (MH), Central Serous Retinopathy (CSR), and Diabetic Retinopathy (DR) represent prevalent ocular conditions associated with varying degrees of vision impairment and potential ...
IEEE

Towards Semantically Faithful Diffusion Representation for Generalizable Retinal Image Segmentation

Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...
IEEE

Brain Tumour Detection and Segmentation using CNN Architecture and U-Net Architecture

Abstract: Tumours are abnormal cell growths, which can be benign or malignant. Brain tumours involve the abnormal cell growth in the brain, potentially leading to cancer and increased intracranial ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
CNN

December 19, 2025 — Jeffrey Epstein files released

• Documents related to the investigation into Jeffrey Epstein were released today on the Justice Department’s website. They include never-before-released photographs of former President Bill Clinton ...
IEEE

Wavelet-Enhanced CNN-Transformer Hybrid Network for Semantic Segmentation of Multi-Scale Geospatial Objects

Abstract: Semantic segmentation of remote sensing imagery has achieved pixel-level precision in land cover classification through deep learning and computer vision technologies, providing automated ...
IEEE

Latest Trends in Face Recognition using CNN

Abstract: Face Recognition is a computer vision technology that identifies or verifies a person’s identity using a person’s facial features. It is widely used in different fields like security, ...