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resnet152v2-skin-cancer-ham10000

🔬 Aplicação Web (Flask + SQLAlchemy) integrada a Deep Learning (ResNet152V2 / Keras) para auxílio ao diagnóstico de câncer de pele (Dataset HAM10000), com 99,01% de acurácia e inferência em 1,17s.

Details

External ID
1389957322
Source
GITHUB
Company
—
Product
resnet152v2-skin-cancer-ham10000
Website domain
github.com
Launched
Sept. 27, 2026
Cohort
—
Upvotes
17
Upvotes percentile
0.5446451447604407
Tags
—
Fetched at
Sept. 30, 2026, 5:02 p.m.
Updated at
Sept. 30, 2026, 5:02 p.m.

Enrichment

Theme
computational biology and personalized therapeutics
Vertical
Healthcare
Function
Vertical SaaS
Audience
Prosumer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
skin cancer diagnosis web app using resnet152v2
Manually corrected
False

Could you build this?

Yes It is a standard educational/portfolio machine learning web app pairing a basic Flask/SQLAlchemy backend with a pretrained ResNet152V2 model on a public Kaggle dataset (HAM10000).

Competitors

Other products that read as similar to this one — 58 launches clear the similarity bar, closest 8 shown.

Attention rank: #17 of 59 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 327 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a vertical saas tool for Insurance yet.