NDTV

IISc Bangalore Invites Applications For Free Deep Learning, AI Course, Details Here

IISc Bangalore Deep Learning Course 2025: The Indian Institute of Science (IISc), Bengaluru, in collaboration with SWAYAM, is ...
IEEE

Evaluating Pretrained Deep Learning Models for Image Classification Against Individual and Ensemble Adversarial Attacks

Abstract: The robustness of Deep Neural Networks (DNNs) against adversarial attacks is an important topic in the area of deep learning. To fully investigate the robustness of DNNs, this study examines ...
GitHub

deep-learning-project

White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...
Frontiers

Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention

The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. Numerous machine learning and ...
C&EN

Deep Learning Enhanced Near Infrared-II Imaging and Image-Guided Small Interfering Ribonucleic Acid Therapy of Ischemic Stroke

Department of Neurosurgery, Central Laboratory, Renmin Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China Department of Cardiology, Zhongnan ...
IEEE

Aerial Image Classification in Post Flood Scenarios Using Robust Deep Learning and Explainable Artificial Intelligence

Abstract: Efficiently delivering timely assistance to flooded regions is a critical imperative, and leveraging deep-learning methodologies has demonstrated significant efficacy in addressing ...
Frontiers

Next-generation approach to skin disorder prediction employing hybrid deep transfer learning

Introduction: Skin diseases significantly impact individuals' health and mental wellbeing. However, their classification remains challenging due to complex lesion characteristics, overlapping symptoms ...