SKIN CANCER DETECTION SYSTEM

Abstract

ABSTRACT A skin cancer detection system (100), the system comprising: an input module (102) configured to receive image data, patient information, clinical data, and public datasets; a processor (104) communicatively coupled with the input module (102), wherein the processor (104) is configured to: receive data from the input module (102), analyze the data using machine learning and deep learning algorithms, and train at least one model to detect skin cancer through images; a user interface (106) communicatively coupled with the processor (104), wherein the user interface (106) enables a user to provide images in real time, and wherein the processor (104) is configured to detect skin cancer using the trained model.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of dermatological diagnostics and, in particular, to a skin cancer detection system designed to enhance the accuracy and efficiency of skin cancer diagnosis through the application of advanced image analysis techniques, including machine learning and deep learning algorithms.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Skin cancer remains one of the most prevalent forms of cancer worldwide, with over 3 million cases diagnosed annual , Claims:1. A skin cancer detection system (100), the system (100) comprising:
an input module (102) comprising:
a database containing image data, patient information, clinical data, and public datasets;
a processor (104) communicatively coupled with the input module (102), wherein the processor (104) is configured to:
receive data from the input module (102),
analyse the data using a machine learning and deep learning algorithms,
train at least one model to detect skin cancer through images;
a user interface (106) communicatively coupled with the processor (104), wherein the user interface (106) enables a user to provide images in a real time,
wherein the processor (104) is configured to detect skin cancer using the trained model.
2. The system (100) as claimed in claim 1, wherein the image data includes skin lesions, patient information includes age gender, family history, skin type, clinical data, and public datasets.

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