AIMC Topic:
Image Interpretation, Computer-Assisted
Clear Filters Showing 2351 to 2360 of 2747 articles
An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images.
Scientific reports
May 20, 2025
Breast cancer represents a significant global health challenge, which makes it essential to detect breast cancer early and accurately to improve patient prognosis and reduce mortality rates. However, traditional diagnostic processes relying on manual...
Multiple deep learning models based on MRI images in discriminating glioblastoma from solitary brain metastases: a multicentre study.
BMC medical imaging
May 19, 2025
OBJECTIVE: Development of a deep learning model for accurate preoperative identification of glioblastoma and solitary brain metastases by combining multi-centre and multi-sequence magnetic resonance images and comparison of the performance of differe...
Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers.
BMC medical imaging
May 16, 2025
BACKGROUND: Basal cell carcinoma (BCC) is the most common skin cancer, placing a significant burden on healthcare systems globally. Developing high-precision automated diagnostics requires large annotated datasets, which are costly and difficult to o...
Towards Skin Cancer Detection Through Low Resolution Images.
Studies in health technology and informatics
May 15, 2025
Currently, dermatologists need to check numerous image reports (high resolution) for diagnosing skin conditions, and Machine Learning (ML) models can help with this tedious task. However, current ML models usually work best with high-quality images i...
A Deep-Learning Framework for Ovarian Cancer Subtype Classification Using Whole Slide Images.
Studies in health technology and informatics
May 15, 2025
Ovarian cancer, a leading cause of cancer-related deaths among women, comprises distinct subtypes each requiring different treatment approaches. This paper presents a deep-learning framework for classifying ovarian cancer subtypes using Whole Slide I...
Leveraging Vision Transformers in Multimodal Models for Retinal OCT Analysis.
Studies in health technology and informatics
May 15, 2025
Optical Coherence Tomography (OCT) has become an indispensable imaging modality in ophthalmology, providing high-resolution cross-sectional images of the retina. Accurate classification of OCT images is crucial for diagnosing retinal diseases such as...
RepSE-CBAMNet: A Hybrid Attention-Enhanced CNN for Brain Tumor Detection.
Studies in health technology and informatics
May 15, 2025
The effective detection of brain tumors is closely linked to their timely diagnosis and treatment which can help in the prevention of deaths and in improving the quality of life. The objective of this paper is to present an enhanced YOLO (You Look On...
Bias Detection in Histology Images Using Explainable AI and Image Darkness Assessment.
Studies in health technology and informatics
May 15, 2025
The study underscores the importance of addressing biases in medical AI models to improve fairness, generalizability, and clinical utility. In this paper, we present a novel framework that combines Explainable AI (XAI) with image darkness assessment ...
Automatic Segmentation of Histopathological Glioblastoma Whole-Slide Images Utilizing MONAI.
Studies in health technology and informatics
May 15, 2025
Manual segmentation of histopathological images is both resource-intensive and prone to human error, particularly when dealing with challenging tumor types like Glioblastoma (GBM), an aggressive and highly heterogeneous brain tumor. The fuzzy borders...
Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning.
Studies in health technology and informatics
May 15, 2025
Digital pathology has made significant advances in tumor diagnosis and segmentation; however, image variability resulting from tissue preparation and digitization - referred to as domain shift - remains a significant challenge. Variations caused by h...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30572
- Neural Networks, Computer 29484
- Algorithms 26516
- Deep Learning 26004
- Artificial Intelligence 24031
- Robotics 13281
- Image Processing, Computer-Assisted 9378
- Retrospective Studies 8936
- Magnetic Resonance Imaging 6073
- Reproducibility of Results 5538
- Tomography, X-Ray Computed 4678
- Support Vector Machine 4642
- Computational Biology 4189
- Brain 3989
- Computer Simulation 3855
Recent Journals
- Scientific reports 5366
- Sensors (Basel, Switzerland) 4794
- PloS one 3951
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1827
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1120
- Journal of chemical information and modeling 982
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 820