Medical Deepfakes: Lung Cancer.

CT scans tampered with cancer added or removed. Can you find them?

The dataset consists 100 CT scans of two sets (80 scans and 20 scans). The first 80 were used in a blind trial with the radiologists (they weren't told they were tampered), and the 20 scans were used in an open trial with the radiologists (they were told the truth and asked to identify them).

For each experiment there is a csv table containing the ground truth. Each row in the csv indicates where a real, fake, or removed cancer is located (x, y, and z [slice#]) and its classification. There are four classes:

Class Acronym Denoscription
True-Benign TB: A location that actually has no cancer

True-Malicious TM: A location that has real cancer

False-Benign FB: A location that has real cancer, but it was removed.

False-Malicious FM: A location that does not have cancer, but fake cancer was injected there.

Cervical Cancer largest dataset (SipakMed)

Cell images pap smear for cervical cancer detection

Cervical cancer is the fourth most common cancer among women in the world, estimated more than 0.53 million women are diagnosed in every year but more than 0.28 million women’s lives are taken by cervical cancer in every years . Detection of the cervical cancer cell has played a very important role in clinical practice.

https://news.1rj.ru/str/datasets1

Hey guys,

As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news.

This brilliant app provides curated, bite-sized updates on the latest tech news/dev content. Whether it’s new frameworks, AI breakthroughs, or cloud services, DevBytes brings the essentials straight to you.

If you're tired of information overload and want a smarter way to stay informed, give DevBytes a try.

Download here: https://play.google.com/store/apps/details?id=com.candelalabs.devbytes&hl=en-IN
It’s time to read less and know more!