Results 11 to 20 of about 458,085 (304)
Dynamic hardware system for cascade SVM classification of melanoma [PDF]
Neural Computing & Applications 32 (2020) pp.1777-1788, 2021 Melanoma is the most dangerous form of skin cancer, which is responsible for the majority of skin cancer-related deaths. Early diagnosis of melanoma can significantly reduce mortality rates and treatment costs. Therefore, skin cancer specialists are using image-based diagnostic tools for detecting melanoma earlier.
arxiv +1 more source
Annals of Oncology, 2009 Biomarkers are tumour- or host-related factors that correlate with tumour biological behaviour and patient prognosis. High-throughput analytical techniques--DNA and RNA microarrays--have identified numerous possible biomarkers, but their relevance to melanoma progression, clinical outcome and the selection of optimal treatment strategies still needs to
Gogas, H. +7 more
openaire +3 more sources
Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition [PDF]
, 2021 Deep learning techniques have shown their superior performance in dermatologist clinical inspection. Nevertheless, melanoma diagnosis is still a challenging task due to the difficulty of incorporating the useful dermatologist clinical knowledge into the learning process. In this paper, we propose a novel knowledge-aware deep framework that incorporates
arxiv +1 more source
Knowledge Distillation approach towards Melanoma Detection [PDF]
Computers in Biology and Medicine, Volume 146, July 2022, 105581, 2022 Melanoma is regarded as the most threatening among all skin cancers. There is a pressing need to build systems which can aid in the early detection of melanoma and enable timely treatment to patients. Recent methods are geared towards machine learning based systems where the task is posed as image recognition, tag dermoscopic images of skin lesions as ...
arxiv +1 more source
Sensing of the melanoma biomarker TROY using silicon nanowire field-effect transistors [PDF]
, 2016 Antibody-functionalized silicon nanowire field-effect transistors have been shown to exhibit excellent analyte detection sensitivity enabling sensing of analyte concentrations at levels not readily accessible by other methods.
Erramilli, Shyamsunder +5 more
core +1 more source
Nature Communications, 2020 A significant proportion of patients develop innate or acquired resistance to immune checkpoint inhibitors. Here, the authors show that resistance to anti-PD-1 blockade is associated with TGF-beta driven major histocompatibility complex I (MHCI) down ...
Jenny H. Lee +17 more
doaj +1 more source
Differences in telomere length between sporadic and familial cutaneous melanoma [PDF]
, 2016 BACKGROUND: Several pieces of evidence indicate that a complex relationship exists between constitutional telomere length (TL) and the risk of cutaneous melanoma.
Bojnik, Engin +9 more
core +1 more source
Melanoma Skin Cancer and Nevus Mole Classification using Intensity Value Estimation with Convolutional Neural Network [PDF]
, 2022 Melanoma skin cancer is one of the most dangerous and life-threatening cancer. Exposure to ultraviolet rays may damage the skin cell's DNA, which causes melanoma skin cancer. However, it is difficult to detect and classify melanoma and nevus mole at the immature stages. In this work, an automatic deep learning system is developed based on the intensity
arxiv +1 more source
Cancer Medicine, 2021 Background Anti‐programmed cell death protein 1 (PD‐1) antibodies are a standard treatment for metastatic melanoma patients. However, the understanding of the efficacy of anti‐PD‐1 for acral melanoma (AM) and mucosal melanoma (MM) is limited as these ...
Dai Ogata +10 more
doaj +1 more source
KMT2A promotes melanoma cell growth by targeting hTERT signaling pathway. [PDF]
, 2017 Melanoma is an aggressive cutaneous malignancy, illuminating the exact mechanisms and finding novel therapeutic targets are urgently needed. In this study, we identified KMT2A as a potential target, which promoted the growth of human melanoma cells ...
Chen, Miao +18 more
core +1 more source