Results 11 to 20 of about 3,826,952 (368)
Data Augmentation for Skin Lesion Analysis [PDF]
OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018 Deep learning models show remarkable results in automated skin lesion analysis. However, these models demand considerable amounts of data, while the availability of annotated skin lesion images is often limited.
Fábio Perez +3 more
semanticscholar +3 more sources
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Radiologists in their daily work routinely find and annotate significant abnormalities on a large number of radiology images. Such abnormalities, or lesions, have collected over years and stored in hospitals' picture archiving and communication systems ...
Ke Yan +6 more
semanticscholar +3 more sources
MRI and clinical resolution of a suspected intracranial toxoplasma granuloma with medical treatment in a domestic short hair cat [PDF]
, 2017 A two-year-old cat was presented with a left paradoxical vestibular syndrome. MRI of the brain revealed an extra-axial homogenously contrast enhancing mass in the region of the left caudal cerebellar peduncle.
Beltran, E, Crawford, A H, Drees, R
core +4 more sources
Gut and Liver, 2023 Background/Aims: In patients with acute nonvariceal upper gastrointestinal bleeding (ANVUGIB), the optimal timing of endoscopy is still a matter of dispute.
Liyi Bai +5 more
doaj +1 more source
Chronic Diseases and Translational Medicine, 2021 Background: Endoscopic ultrasound (EUS)-guided transmural drainage for pancreatic fluid collections (PFCs) has become the first-line treatment with quicker recovery and more minor injury compared with surgery and percutaneous drainage.
Jing Li +4 more
doaj +1 more source
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification [PDF]
IEEE Transactions on Medical Imaging, 2019 Automated skin lesion segmentation and classification are two most essential and related tasks in the computer-aided diagnosis of skin cancer. Despite their prevalence, deep learning models are usually designed for only one task, ignoring the potential ...
Yutong Xie +3 more
semanticscholar +1 more source
Cancer Medicine, 2020 Esophageal squamous cell carcinoma (ESCC) is one of the most common and aggressive malignancies in China. Cancer‐associated fibroblasts (CAFs) can actively communicate with and stimulate tumor cells, thereby contributing to the development and ...
Guiping Zhao +6 more
doaj +1 more source
Biomarker Research, 2023 Cuproptosis is a newly discovered type of cell death triggered by copper accumulation. Here we exhibited the genetic profiles of 10 cuproptosis-associated genes (CuAGs) across 21 cancer types.
Fanqin Bu +5 more
doaj +1 more source
Skin Lesion Segmentation in Dermoscopic Images With Ensemble Deep Learning Methods
IEEE Access, 2020 Early detection of skin cancer, particularly melanoma, is crucial to enable advanced treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of computerised analysis for skin lesions.
M. Goyal +4 more
semanticscholar +1 more source
Chronic white matter lesion activity predicts clinical progression in primary progressive multiple sclerosis. [PDF]
, 2019 Chronic active and slowly expanding lesions with smouldering inflammation are neuropathological correlates of progressive multiple sclerosis pathology.
Arnold, Douglas L +10 more
core +1 more source