Medicia AI Demo Projects

Cancer Image Classification

Classify Skin Cancer Images as Benign or Malignant

Use a pre-trained deep learning-based model (Efficient Net B0) to classify skin cancer images as benign or malignant.

Transfer learning is applied to adapt the Efficient Net B0 model on a skin cancer image dataset.

Cancer Image Classification

Classify Cancer Images as Benign or Malignant

Learning through insights to advance science requires all stakeholders to work together. Our technology connects hospitals, oncologists, life science researchers, academics and regulators on a shared platform.

The solutions we co-create with hospitals free patients from the stress of of managing a complicated disease, enabling them to lead, safer, and fuller lives.

Cancer Image Classification

Classify Cancer Images as Benign or Malignant

Learning through insights to advance science requires all stakeholders to work together. Our technology connects hospitals, oncologists, life science researchers, academics and regulators on a shared platform.

The solutions we co-create with hospitals free patients from the stress of of managing a complicated disease, enabling them to lead, safer, and fuller lives.

Project Header

Short description, Sep 2, 2017

Learning through insights to advance science requires all stakeholders to work together. Our technology connects hospitals, oncologists, life science researchers, academics and regulators on a shared platform.

The solutions we co-create with hospitals free patients from the stress of of managing a complicated disease, enabling them to lead, safer, and fuller lives.

Project Header

Short description, Sep 2, 2017

Learning through insights to advance science requires all stakeholders to work together. Our technology connects hospitals, oncologists, life science researchers, academics and regulators on a shared platform.

The solutions we co-create with hospitals free patients from the stress of of managing a complicated disease, enabling them to lead, safer, and fuller lives.