The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images

AbstractAccording to diagnostic criteria, skin tumors can be divided into three categories: benign, low degree and high degree malignancy. For high degree malignant skin tumors, if not detected in time, they can do serious harm to patients ’ health. However, in clinical practice, identifying malignant degree requires biopsy and pathological examination which is time costly. Furthermore, in many areas, due to the severe shortage of dermatologists, it’s inconvenient for patients to go to hospital for examination. Therefore, an easy to access screening method of malignant skin tumors is needed urgently. Firstly, we spend 5 years to build a dataset which includes 4,500 images of 10 kinds of skin tumors. All instances are verified pathologically thus trustworthy; Secondly, we label each instance to be either low-risk, high-risk or dangerous in which Junctional nevus, Intradermal nevus, Dermatofibroma, Lipoma and Seborrheic keratosis are low-risk, Basal cell carcinoma, Bowen’s disease and Actinic keratosis are high-risk, Squamous cell carcinoma and Malignant melanoma are dangerous; Thirdly, we apply the Xception architect ure to build the risk degree classifier. The area under the curve (AUC) for three risk degrees reach 0.959, 0.919 and 0.947 respectively. To further evaluate the validity of the proposed risk degree classifier, we conduct a competition with 20 professional dermatologists. The results showed the prop osed classifier outperforms dermatologists...
Source: Journal of Medical Systems - Category: Information Technology Source Type: research

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Source: Radiologia Brasileira - Category: Radiology Source Type: research
Condition:   Carcinoma, Renal Cell Interventions:   Other: Laboratory analysis of samples;   Other: Application of machine learning Sponsor:   CCTU- Cancer Theme Not yet recruiting
Source: - Category: Research Source Type: clinical trials
Conditions:   Metastatic Melanoma;   Renal Cell Carcinoma;   Colon Cancer With MSI-H or dMMR Interventions:   Drug: CD24Fc;   Drug: Ipilimumab;   Drug: Nivolumab Sponsors:   OncoImmune, Inc.;   Huntsman Cancer Institute Not yet recruiting
Source: - Category: Research Source Type: clinical trials
Conditions:   Pancreatic Adenocarcinoma;   Esophageal Adenocarcinoma;   Esophageal Squamous Cell Carcinoma;   Gastric Adenocarcinoma;   Gastroesophageal Junction Adenocarcinoma;   Triple Negative Breast Cancer;   Castration-resistant Prostate Cancer;   Microsatellite Stable Colorectal C ancer Interventions:   Drug: GB1275;   Drug: nab-paclitaxel and gemcitabine;   Drug: pembrolizumab Sponsor:   GB006, Inc., a wholly owned subsidiary of Gossamer Bio, Inc. Recruiting
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Conditions:   Nasopharyngeal Carcinoma;   Neoadjuvant Chemotherapy Interventions:   Drug: 4 cycles of Neoadjuvant Chemotherapy With Definitive Radiotherapy;   Drug: 3 cycles of Neoadjuvant Chemotherapy With concurrent chemoradiotherapy Sponsor:   Second Affiliated Hospital, School of Medicine, Zhejiang University Recruiting
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Shellie Clark, of Maidenhead, was diagnosed with melanoma five months ago. She warns that if it can happen to her - someone who rarely sunbathed - it will happen to anyone.
Source: the Mail online | Health - Category: Consumer Health News Source Type: news
Publication date: December 2019Source: Materials Science and Engineering: C, Volume 105Author(s): Abdul Wahab Jatoi, Ick Soo Kim, Hiroshi Ogasawara, Qing-Qing NiAbstractAlthough silver based nanofibers possess excellent bactericidal and bacteriostatic characteristics. However, excess release/contact with silver may induce harmful side-effects including carcinoma, argyria, argyrosis and allergies. Similarly, silver depletion may limit prolonged antibacterial activities as well. Thus present research proposes electrospun CA/ZnO/AgNPs composite nanofibers for biologically safer and sustained antibacterial applications. The Zn...
Source: Materials Science and Engineering: C - Category: Materials Science Source Type: research
Researchers compared the swallowing-related quality-of-life scores of patients with  oropharyngeal squamous cell carcinoma who received radiotherapy and patients who received transoral robotic surgery with neck dissection.
Source: CancerNetwork - Category: Cancer & Oncology Authors: Source Type: news
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