Cancer Analysis

Evaluating interpretability of cancer images using XAI techniques.

A large, modern medical imaging machine, possibly a CT scanner, is situated in a clean and well-lit medical room. The machine is white with grey accents and features a circular opening with a long table extending from it, which can slide the patient in for scanning. On the side of the scanner, there are control panels with digital displays and buttons.
A large, modern medical imaging machine, possibly a CT scanner, is situated in a clean and well-lit medical room. The machine is white with grey accents and features a circular opening with a long table extending from it, which can slide the patient in for scanning. On the side of the scanner, there are control panels with digital displays and buttons.
Model Evaluation

Comparing CNN architectures for cancer image segmentation outputs.

A hand holds a smartphone displaying a screen with colorful statistics related to health data. The numbers are large and prominent, with different colors assigned to each category for cases, recoveries, deaths, and suspicions.
A hand holds a smartphone displaying a screen with colorful statistics related to health data. The numbers are large and prominent, with different colors assigned to each category for cases, recoveries, deaths, and suspicions.
A group of people sit around a wooden table engaged in a discussion, with sheets of paper in front of them marked with diagrams and the words 'Diabetes Advocacy'. There is a bright, natural light coming from a nearby window, and everyone appears focused on sharing ideas, as some take notes with colored markers.
A group of people sit around a wooden table engaged in a discussion, with sheets of paper in front of them marked with diagrams and the words 'Diabetes Advocacy'. There is a bright, natural light coming from a nearby window, and everyone appears focused on sharing ideas, as some take notes with colored markers.
A male doctor wearing a white lab coat is attentively administering medical care to a patient. The patient, who is seated in a hospital chair, is receiving treatment through a port in his chest. A female healthcare professional stands nearby, observing and providing support.
A male doctor wearing a white lab coat is attentively administering medical care to a patient. The patient, who is seated in a hospital chair, is receiving treatment through a port in his chest. A female healthcare professional stands nearby, observing and providing support.
XAI Techniques

Utilizing CNN models for interpretability in cancer diagnosis.

An x-ray image of a flower with three distinct buds, displaying intricate internal structures in shades of white against a black background. The central bud is the largest, with two smaller buds on either side, accompanied by slender leaves.
An x-ray image of a flower with three distinct buds, displaying intricate internal structures in shades of white against a black background. The central bud is the largest, with two smaller buds on either side, accompanied by slender leaves.

Segmentation

Evaluating cancer images using XAI techniques and CNN architectures.

A person is viewing a map with red data points on a computer monitor, likely indicating a geographical distribution. The image has a focus on technology and data analysis.
A person is viewing a map with red data points on a computer monitor, likely indicating a geographical distribution. The image has a focus on technology and data analysis.
An X-ray image of the human skull, displaying clear outlines of the cranium, eye sockets, and nasal cavity. The image has a monochrome color palette, typical for X-ray images, with variations in brightness indicating different densities of bone and tissue.
An X-ray image of the human skull, displaying clear outlines of the cranium, eye sockets, and nasal cavity. The image has a monochrome color palette, typical for X-ray images, with variations in brightness indicating different densities of bone and tissue.