Analysis of Micro-images of Skin Neoplasms Using Convolutional Neural Networks in an Intelligent Medical Information System for the Early Diagnosis of Melanomadoi:10.1007/978-3-031-19620-1_23AI-based clinical decision support is a particularly promising area of research in oncology. Successful ...
摘要: Pathological skin imaging analysis is identified a 年份: 2018 收藏 引用 批量引用 报错 分享 求助全文 通过文献互助平台发起求助,成功后即可免费获取论文全文。 请先登入相似文献Roughness of excimer laser ablated corneas with and without smoothing measured with atomic force microscopy melanocytemelanoma...
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification [paper] 2017 Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks with Jaccard Distance [paper] "Jaccard distance on one hand, is similar to the known Dice overlap coefficient (...
Melanoma is the 5th commonest cancer in the UK and survivors require frequent and thorough skin checks. During the Achieving Self-directed Integrated Cancer Aftercare (ASICA) trial, melanoma survivors used an app to submit images of concerning lesions for assessment by a dermatology nurse. In the ...
Sensitivity and specificity of confocal laser-scanning microscopy for in vivo diagnosis of malignant skin tumors. BACKGROUNDMelanoma and nonmelanoma skin cancer are the most frequent malignant tumors by far among whites. Currently, early diagnosis is the most efficient... A Gerger,S Koller,W We...
Skin cancer that originates in the pigment-producing cells known as melanocytes, melanoma, is the most severe form of the disease. Melanoma evolution might include changes in size, form, colour, irritation, and even skin disintegration. There is a need for a novel strategy to enhance the ...
The segmentation of skin lesions in dermoscopic images is a fundamental step in automated computer-aided diagnosis (CAD) of melanoma. Conventional segmentation methods, however, have difficulties when the lesion borders are indistinct and when contrast between the lesion and the surrounding skin is low...
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images Skin cancer is the most common cancer world-wide, among which Melanoma the most fatal cancer, accounts for more than 10,000 deaths annually in Australia an... Z Ge,S Demyanov,R Chakra...
In a computerized image analysis environment, the irregularity of a lesion border has been used to differentiate between malignant melanoma and other pigmented skin lesions. The accuracy of the automated lesion border detection is a significant step towards accurate classification at a later stage. In...
Ultrasound: oval-shaped, hyperechoic mass of the subcutaneous fat, parallel to the skin. Surgical resection in order to eliminate angiosarcoma: confirmation of the benign nature of the tumour Full size image Haematoma Haematoma is a localised haemorrhage either secondary to trauma or possibly ...