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ColonSegNet for Real-time Polyp Segmentation

Introduction ColonSegNet is a popular lightweight polyp segmentation architecture that has been utilized at an industrial application by NVIDIA for the Clara Holoscan Sample App for colonoscopy polyps’ segmentation. With an image size of 512*512, ColonSegNet achieves a dice coefficient of 82.06% for the polyp segmentation tasks and achieves average precision of 80.00% for the polyp detection tasks. […]

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DoubleUNet for Medical image Segmentation

Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a popular strategy for solving medical image segmentation tasks. To improve the performance of U-Net on various segmentation tasks, we propose a novel architecture called DoubleU-Net, Architecture DoubleUNet […]

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Explainablity of deep learning models

Deep learning models, such as neural networks, have become increasingly popular in recent years due to their ability to learn and make predictions from large amounts of data. However, one of the major challenges with these models is that they can be difficult to understand and interpret. This is known as the “black box” problem, […]

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Artificial Intelligence in Radiation Therapy for Cancer Treatment

Radiation therapy (also known as Radiotherapy) is a procedure of cancer treatment that uses high-energy radiation to kill cancer cells. Artificial Intelligence (AI) is revolutionizing the field of cancer treatment, including the use of radiation therapy. Radiation therapy is a common treatment option for cancer that uses high-energy rays to target and kill cancer cells. […]

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Introduction to Transformer Model

Introduction Advantages of Transformers over CNN models: The key advantage of transformers is that they allow the model to handle long-term dependencies and sequential data much more effectively than RNNs and CNNs. This is because the attention mechanism allows the model to focus on specific parts of the input rather than processing the entire input […]

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Machine Learning-based Classification, Detection, and Segmentation of Medical Images (PhD Thesis summary)

Gastrointestinal (GI) cancers are among the most common cancers worldwide. In particular, colorectal cancer is the most lethal in terms of the number of incidences and mortality (third most common cause of cancer and the second most common cause of cancer-related deaths). Colonoscopy is the gold standard for screening patients for colorectal cancer. During the […]

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ChatGPT

ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text. It is based on the transformer architecture, which is a neural network architecture that has been shown to be highly effective for natural language processing tasks. One of the most notable features of ChatGPT is its ability to […]

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