AI Skin Cancer Detection

AI Skin Cancer Detection

Peter Ma

Peter Ma

San Francisco, California

doctor hazel is a AI that helps to screen for skin cancer in real time without internet powered by Movidius NCS.

Android, Intel RealSense™, Artificial Intelligence, Internet of Things

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  • 8 Followers

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Description

Between 40 and 50 percent of Americans who live to age 65 will have either basal cell carcinoma or squamous cell carcinoma at least once.

The annual cost of treating skin cancers in the U.S. is estimated at $8.1 billion: about $4.8 billion for nonmelanoma skin cancers and $3.3 billion for melanoma.

An estimated 9,730 people will die of melanoma in 2017.

The estimated 5-year survival rate for patients whose melanoma is detected early is about 98 percent in the U.S. The survival rate falls to 62 percent when the disease reaches the lymph nodes, and 18 percent when the disease metastasizes to distant organs

Our project plans to train and classify skin cancer types so that user can try to detect cancer in the real time. When detected with high confidence score, user will be given suggestion to see dermatologist for effective treatments.

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Links

Mobile Health News Coverage

TechCrunch article on this AI Skin Cancer Project

National Cancer Institute Cancer Screening

Peter ma

Peter M. added photos to project AI Skin Cancer Detection

Medium d9814688 d6c3 4f4c 8e7f af01738fd63a

AI Skin Cancer Detection

Between 40 and 50 percent of Americans who live to age 65 will have either basal cell carcinoma or squamous cell carcinoma at least once.

The annual cost of treating skin cancers in the U.S. is estimated at $8.1 billion: about $4.8 billion for nonmelanoma skin cancers and $3.3 billion for melanoma.

An estimated 9,730 people will die of melanoma in 2017.

The estimated 5-year survival rate for patients whose melanoma is detected early is about 98 percent in the U.S. The survival rate falls to 62 percent when the disease reaches the lymph nodes, and 18 percent when the disease metastasizes to distant organs

Our project plans to train and classify skin cancer types so that user can try to detect cancer in the real time. When detected with high confidence score, user will be given suggestion to see dermatologist for effective treatments.

Peter ma

Peter M. added photos to project AI Skin Cancer Detection

Medium d7aa1022 1642 4bd1 ac57 8b939962cd4a

AI Skin Cancer Detection

Between 40 and 50 percent of Americans who live to age 65 will have either basal cell carcinoma or squamous cell carcinoma at least once.

The annual cost of treating skin cancers in the U.S. is estimated at $8.1 billion: about $4.8 billion for nonmelanoma skin cancers and $3.3 billion for melanoma.

An estimated 9,730 people will die of melanoma in 2017.

The estimated 5-year survival rate for patients whose melanoma is detected early is about 98 percent in the U.S. The survival rate falls to 62 percent when the disease reaches the lymph nodes, and 18 percent when the disease metastasizes to distant organs

Our project plans to train and classify skin cancer types so that user can try to detect cancer in the real time. When detected with high confidence score, user will be given suggestion to see dermatologist for effective treatments.

Peter ma

Peter M. added photos to project AI Skin Cancer Detection

Medium 16429168 0f48 4c52 b4cc 08617eb794e5

AI Skin Cancer Detection

Between 40 and 50 percent of Americans who live to age 65 will have either basal cell carcinoma or squamous cell carcinoma at least once.

The annual cost of treating skin cancers in the U.S. is estimated at $8.1 billion: about $4.8 billion for nonmelanoma skin cancers and $3.3 billion for melanoma.

An estimated 9,730 people will die of melanoma in 2017.

The estimated 5-year survival rate for patients whose melanoma is detected early is about 98 percent in the U.S. The survival rate falls to 62 percent when the disease reaches the lymph nodes, and 18 percent when the disease metastasizes to distant organs

Our project plans to train and classify skin cancer types so that user can try to detect cancer in the real time. When detected with high confidence score, user will be given suggestion to see dermatologist for effective treatments.

Medium bob duffy 3d head avatar

Bob D. added a comment on project AI Skin Cancer Detection

Medium 29b5ff0a 2385 4153 a0c3 c1247f65a989

AI Skin Cancer Detection

Between 40 and 50 percent of Americans who live to age 65 will have either basal cell carcinoma or squamous cell carcinoma at least once.

The annual cost of treating skin cancers in the U.S. is estimated at $8.1 billion: about $4.8 billion for nonmelanoma skin cancers and $3.3 billion for melanoma.

An estimated 9,730 people will die of melanoma in 2017.

The estimated 5-year survival rate for patients whose melanoma is detected early is about 98 percent in the U.S. The survival rate falls to 62 percent when the disease reaches the lymph nodes, and 18 percent when the disease metastasizes to distant organs

Our project plans to train and classify skin cancer types so that user can try to detect cancer in the real time. When detected with high confidence score, user will be given suggestion to see dermatologist for effective treatments.

Peter ma

Peter M. added photos to project AI Skin Cancer Detection

Medium 77f0ec53 cf1d 4168 9551 ad2c7010906a

AI Skin Cancer Detection

Between 40 and 50 percent of Americans who live to age 65 will have either basal cell carcinoma or squamous cell carcinoma at least once.

The annual cost of treating skin cancers in the U.S. is estimated at $8.1 billion: about $4.8 billion for nonmelanoma skin cancers and $3.3 billion for melanoma.

An estimated 9,730 people will die of melanoma in 2017.

The estimated 5-year survival rate for patients whose melanoma is detected early is about 98 percent in the U.S. The survival rate falls to 62 percent when the disease reaches the lymph nodes, and 18 percent when the disease metastasizes to distant organs

Our project plans to train and classify skin cancer types so that user can try to detect cancer in the real time. When detected with high confidence score, user will be given suggestion to see dermatologist for effective treatments.

Peter ma

Peter M. added photos to project AI Skin Cancer Detection

Medium 29b5ff0a 2385 4153 a0c3 c1247f65a989

AI Skin Cancer Detection

Between 40 and 50 percent of Americans who live to age 65 will have either basal cell carcinoma or squamous cell carcinoma at least once.

The annual cost of treating skin cancers in the U.S. is estimated at $8.1 billion: about $4.8 billion for nonmelanoma skin cancers and $3.3 billion for melanoma.

An estimated 9,730 people will die of melanoma in 2017.

The estimated 5-year survival rate for patients whose melanoma is detected early is about 98 percent in the U.S. The survival rate falls to 62 percent when the disease reaches the lymph nodes, and 18 percent when the disease metastasizes to distant organs

Our project plans to train and classify skin cancer types so that user can try to detect cancer in the real time. When detected with high confidence score, user will be given suggestion to see dermatologist for effective treatments.

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Karen Ng (Intel)

Data Scientist

Intel - Jones Farm 5, Hillsboro, OR 97124, USA

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Kevin David Rangel Jiménez

Kevin Rangel is a software engineering student. He is an enthusiast of electronics and programming. His current interest is get experience for programming, game design and IoT.

Las Torres, Cartagena, Bolívar, Colombia

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Bob Duffy

Folsom, CA, USA