Results 1 to 10 of about 261,899 (291)
Results in Engineering, 2023 Lung cancer is characterized by the uncontrollable growth of cells in the lung tissues. Early diagnosis of malignant cells in the lungs, which provide oxygen to the human body and excrete carbon dioxide because of important processes, is critical ...
Vani Rajasekar +4 more
doaj +3 more sources
Utilizing Detectron2 for accurate and efficient colon cancer detection in histopathological images [PDF]
Frontiers in Bioengineering and BiotechnologyIntroductionColon cancer ranks among the most prevalent and lethal cancers globally, emphasizing the urgent need for accurate and early diagnostic tools.
Luxi Chen +10 more
doaj +2 more sources
A Lightweight Cross-Gated Dual-Branch Attention Network for Colon and Lung Cancer Diagnosis from Histopathological Images [PDF]
Medical SciencesBackground/Objectives: Accurate histopathological classification of lung and colon tissues remains difficult due to subtle morphological overlap between benign and malignant regions. Deep learning approaches have advanced diagnostic precision, yet models
Raquel Ochoa-Ornelas +5 more
doaj +2 more sources
Classification and localization of gastric cancer using Multi-Information Fusion Network [PDF]
Revista Română de Informatică și Automatică, 2023 Diagnosing and differentiating gastric cancer cells from stomach ulcers requires high-domain expertise and is time-consuming. Furthermore, medical image processing requires extremely high segmentation accuracy, which may lack interpretability and ...
Varghese Sicily Felix ENIGO +3 more
doaj +1 more source
Milker’s Nodule: Characteristic Clinical and Histopathological Images [PDF]
Indian Dermatology Online JournalNeerja Saraswat +3 more
doaj +2 more sources
A Robust Deep Learning-Based Approach for Detection of Breast Cancer from Histopathological Images
Engineering Proceedings, 2023 Breast cancer is a frequently encountered and potentially lethal illness that can affect not only women but also men. It is the most common disease affecting women globally, and is the main cause of morbidity and death.
Raheel Zaman +3 more
doaj +1 more source
Diagnostics, 2022 Targeted therapy is an effective treatment for non-small cell lung cancer. Before treatment, pathologists need to confirm tumor morphology and type, which is time-consuming and highly repetitive. In this study, we propose a multi-task deep learning model
Zhao Wang +9 more
doaj +1 more source
CHILDHOOD MEDULLOBLASTOMA DIAGNOSIS USING MULTISCALE FRAMEWORK
International Journal of Advances in Signal and Image Sciences, 2022 This paper proposes an efficient Shearlet Based Childhood MedulloBlastoma (SBCMB) detection system. It is a classification system that extracts prominent characteristics for childhood MedulloBlastoma diagnosis from a given collection of histopathological
Vishal Eswaran, Usha Eswaran
doaj +1 more source
Neural Image Compression for Gigapixel Histopathology Image Analysis [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 We propose Neural Image Compression (NIC), a two-step method to build convolutional neural networks for gigapixel image analysis solely using weak image-level labels. First, gigapixel images are compressed using a neural network trained in an unsupervised fashion, retaining high-level information while suppressing pixel-level noise.
Tellez, D. +5 more
openaire +4 more sources
Magnification Generalization For Histopathology Image Embedding [PDF]
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 Histopathology image embedding is an active research area in computer vision. Most of the embedding models exclusively concentrate on a specific magnification level. However, a useful task in histopathology embedding is to train an embedding space regardless of the magnification level.
Sikaroudi, Milad +4 more
openaire +2 more sources