A Review of Prevalent Methods for Automatic Skin Lesion Diagnosis
نویسندگان
چکیده
منابع مشابه
A Novel Method for Skin Lesion Segmentation
Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...
متن کاملA Novel Method for Skin Lesion Segmentation
Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...
متن کاملAutomatic Diagnosis of Skin Lesion Segmentation Using Textural Distinctiveness
Melanoma a potentially fatal form of cancer has many diagnostic approaches. But they still lacks in efficiency due to factors like complex visual patterns, streaks, presence of hair and cost of dermatological examining. This paper describes a method that differentiates a normal skin from that of a malignant type. With the acquired image, preprocessing is done by converting them to gray scale an...
متن کاملA Review on Parasitological, Immunological and Molecular Methods for Diagnosis of Human Strongyloidiasis
Strongyloidiasis caused by intestinal nematode Strongyloides stercoralis may leads to hyperinfection syndrome and disseminated infections. If not diagnosed and treated properly, it may even end to the death of patients. Sensitivity of parasitological methods is not good enough and multiple stool sampling over consecutive days is essential to improve the detection rate. The agar plate culture me...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Open Dermatology Journal
سال: 2018
ISSN: 1874-3722
DOI: 10.2174/187437220181201014