Results 1 to 10 of about 3,700,841 (366)
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.
Avila, Sandra +3 more
core +2 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, 2018 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 ...
A Esteva +23 more
core +2 more sources
A novel cuproptosis-related gene signature for predicting prognosis in cervical cancer
Frontiers in Genetics, 2022 Purpose: Cuproptosis, a form of copper-induced cell death, can be a promising therapeutic target for refractory cancers. Hence, we conducted this research to explore the association between cuproptosis and prognosis in cervical cancer (CC).Methods: For ...
Lei Lei, Liao Tan, Long Sui
doaj +1 more source
Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC) [PDF]
IEEE International Symposium on Biomedical Imaging, 2016 This article describes the design, implementation, and results of the latest installment of the dermoscopic image analysis benchmark challenge. The goal is to support research and development of algorithms for automated diagnosis of melanoma, the most ...
D. Gutman +6 more
semanticscholar +1 more source
Frontiers in Oncology, 2021 The poor prognosis of patients with pancreatic ductal adenocarcinoma (PDAC) is associated with the invasion and metastasis of tumor cells. Epithelial cell transforming 2 (ECT2) is a guanine nucleotide exchange factor (GEF) of the Rho family of GTPases ...
Junxiong Wang +15 more
doaj +1 more source
Of networked lesions and lesioned networks
Brain, 2022 This scientific commentary refers to ‘Post-stroke outcomes predicted from multivariate lesion-behaviour and lesion network mapping’ by Bowren et al. (https://doi.org/10.1093/brain/awac010).
Robert Gray, Parashkev Nachev
openaire +3 more sources
BMC Gastroenterology, 2021 Background and aims The duodenum is considered a challenging area for the endoscopic resection of lesions. This study aimed to evaluate the efficacy and safety of over-the-scope clip (OTSC)-assisted endoscopic full-thickness resection (EFTR) for complex ...
Yongqiu Wei +4 more
doaj +1 more source
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018 Deep learning networks have recently been shown to outperform other segmentation methods on various public, medical-image challenge datasets, particularly on metrics focused on large pathologies.
T. Nair +3 more
semanticscholar +1 more source
Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network [PDF]
Italian National Conference on Sensors, 2017 Skin lesions are a severe disease globally. Early detection of melanoma in dermoscopy images significantly increases the survival rate. However, the accurate recognition of melanoma is extremely challenging due to the following reasons: low contrast ...
Yuexiang Li, L. Shen
semanticscholar +1 more source
Cell & Bioscience, 2020 Background Colorectal cancer (CRC) is the fourth most deadly malignancy throughout the world. Extensive studies have shown that Krüppel-like factors (KLFs) play essential roles in cancer development.
Weilong Yao +3 more
doaj +1 more source