Blemish Types, Skin Cancer ID
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23 ta sharh
Hamma uchun
info
5 ming+
Yuklanmalar
Hamma uchun
Batafsil
Bu ilova haqida
More than 600 hours of processing time invested in training and improving the neural networks.
Identify different types of benign & malignant spots in the skin, just by taking a photo or uploading an image (ATTENTION: THIS APP DOES NOT PROVIDE A MEDICAL DIAGNOSIS. ALWAYS CONSULT A CERTIFIED DERMATOLOGIST FOR ANY MEDICAL DECISION).
If you decide to use this app, it is highly recommended to load a photo made with a dermatoscope as regular pictures don't show small details (YOU SHOULD USE IMAGES OBTAINED WITH A DERMATOSCOPE TO GET MORE CONSISTENT RESULTS, BUT ONLY A DERMATOLOGIST CAN PROVIDE A DIAGNOSIS).
Resulting validation general accuracy: 70.5% (note that a random result will obtain 12.5% accuracy given the 8-categories identification; in a basic Melanoma-Not Melanoma model it's 50.0%, which is not the case; also the model was trained with 5 different levels of detail instead of 1, which reduces bias but it results in lower validation accuracy).
Identify different types of benign & malignant spots in the skin, just by taking a photo or uploading an image (ATTENTION: THIS APP DOES NOT PROVIDE A MEDICAL DIAGNOSIS. ALWAYS CONSULT A CERTIFIED DERMATOLOGIST FOR ANY MEDICAL DECISION).
If you decide to use this app, it is highly recommended to load a photo made with a dermatoscope as regular pictures don't show small details (YOU SHOULD USE IMAGES OBTAINED WITH A DERMATOSCOPE TO GET MORE CONSISTENT RESULTS, BUT ONLY A DERMATOLOGIST CAN PROVIDE A DIAGNOSIS).
Resulting validation general accuracy: 70.5% (note that a random result will obtain 12.5% accuracy given the 8-categories identification; in a basic Melanoma-Not Melanoma model it's 50.0%, which is not the case; also the model was trained with 5 different levels of detail instead of 1, which reduces bias but it results in lower validation accuracy).
Identify beauty spots, is it keratosis, melanoma? Try with dermatoscope images
Oxirgi yangilanish
Tanlangan hikoyalar
Xavfsizlik — dastur ishlab chiquvchilar maʼlumotlaringizni qanday jamlashi va ulashishini tushunishdan boshlanadi. Maʼlumotlar maxfiyligi va xavfsizlik amaliyotlari ilovadan foydalanish, hudud va yoshga qarab farq qilishi mumkin. Bu axborot dastur ishlab chiquvchi tomonidan taqdim etilgan va keyinchalik yangilanishi mumkin.
Reytinglar va sharhlar
22 ta sharh
Nima yangiliklar
2.27 Edition (02 July 2025)
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New feature:
Continue adding unlimited images for the same observation and get the combined results.
Important visual Improvements.
Since 27TH February 2023: Added complementary model with 70.44% validation accuracy to be used together with the current one (71.64%)>> WILL TAKE LONGER TO PROCESS
============================
New feature:
Continue adding unlimited images for the same observation and get the combined results.
Important visual Improvements.
Since 27TH February 2023: Added complementary model with 70.44% validation accuracy to be used together with the current one (71.64%)>> WILL TAKE LONGER TO PROCESS
Hamma uchun
BatafsilIlova yuzasidan yordam
Dasturchi haqida
Luis Manuel Muñoz Pérez
turiondev@gmail.com
124 City Road
LONDON
EC1V 2NX
United Kingdom
