Proyecto en colaboración con la unidad de Dermatología del Hospital Clínico de BarcelonaConvolutional Neural Networks (CNNs) is a technology that is evolving very quickly. The CNNs are used in image recognition to improve the computer vision systems in image classification, object detection and segmentation tasks. For all the mentioned features we can apply the CCN in the field of medicine to automate the techniques of obtaining diagnosis and facilitate the tasks of doctors. The purpose of this project is to classify images of different skin lesions in order to detect possible diseases such as skin cancer (melanoma) through CNNs and metadata information. The images used in this project have been provided by the Dermatology Department of the...
Skin diseases can be seen clearly by oneself and others. Although this disease is visible on the ski...
This project is based on the generation of images of human tissue, specifically, skin lesions such a...
Classification of skin cancer is an important task to detect skin cancer and help with the treatment...
El cáncer de piel es uno de los cánceres más problemáticos a nivel mundial. Dentro de este grupo, s...
Skin cancer is one of the most common diseases in the world population. Usually, the diagnosis requi...
This research is proposed a design of architecture for melanoma (a kind of skin cancer) recognition ...
El cáncer de piel más común es el de tipo melanoma, que ha aumentado en múltiples partes del mundo. ...
Computer vision techniques can help doctors into measuring and tracking the evolution of skin lesion...
Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and derm...
Skin cancer is detected in skin lesions. The most common skin cancer is melanoma. Skin cancer is inc...
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona...
The Skin cancer is increasing around of world; in México is not the exception. The Skin cancer is de...
Dermatological disorders are among the most common reasons for patients to visit general practitione...
Las estrategias de detección precoz del melanoma maligno, es un punto de gran importanci...
The development of science and technology (IPTEK) in the current era is growing very rapidly in vari...
Skin diseases can be seen clearly by oneself and others. Although this disease is visible on the ski...
This project is based on the generation of images of human tissue, specifically, skin lesions such a...
Classification of skin cancer is an important task to detect skin cancer and help with the treatment...
El cáncer de piel es uno de los cánceres más problemáticos a nivel mundial. Dentro de este grupo, s...
Skin cancer is one of the most common diseases in the world population. Usually, the diagnosis requi...
This research is proposed a design of architecture for melanoma (a kind of skin cancer) recognition ...
El cáncer de piel más común es el de tipo melanoma, que ha aumentado en múltiples partes del mundo. ...
Computer vision techniques can help doctors into measuring and tracking the evolution of skin lesion...
Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and derm...
Skin cancer is detected in skin lesions. The most common skin cancer is melanoma. Skin cancer is inc...
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona...
The Skin cancer is increasing around of world; in México is not the exception. The Skin cancer is de...
Dermatological disorders are among the most common reasons for patients to visit general practitione...
Las estrategias de detección precoz del melanoma maligno, es un punto de gran importanci...
The development of science and technology (IPTEK) in the current era is growing very rapidly in vari...
Skin diseases can be seen clearly by oneself and others. Although this disease is visible on the ski...
This project is based on the generation of images of human tissue, specifically, skin lesions such a...
Classification of skin cancer is an important task to detect skin cancer and help with the treatment...