Adnan Saeed

Adnan Saeed is a deep learning researcher working on medical image analysis, with a focus on multimodal architectures, graph neural networks, and evidential deep learning for clinical imaging tasks. His peer reviewed research has appeared in journals across machine learning and biomedical signal processing. At AI Trend Blend he turns recent papers into clear, practical explainers, with an emphasis on what a method actually does and where it holds up, written for readers who want depth without the hype.

Med-SA Explained, Adapting SAM to Medicine With 2 Percent of Its Weights

Med-SA Explained, Adapting SAM to Medicine With 2 Percent of Its Weights

Leave a Comment / Medical AI, Image Segmentation /

AI FOR MEDICAL IMAGING AND HEALTHCARE · 16 MIN READ · Analysis by the aitrendblend editorial team Med-SA Segment Anything Model parameter efficient fine tuning SD-Trans Hyper-Prompting Adapter 17 medical tasks Five imaging modalities, one frozen backbone, a handful of small trained adapters. Image styling is illustrative of the pipeline described in the paper. Fully […]

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SILP: A Breakthrough in Skin Lesion Classification and Skin Cancer Detection

1 Comment / Machine Learning /

In today’s fast-paced medical landscape, early detection of skin cancer is more crucial than ever. With skin cancer cases on the rise due to increased ultraviolet exposure and environmental factors, accurate and efficient diagnostic tools are essential. Enter SILP – a novel system that leverages state-of-the-art machine learning techniques to enhance skin lesion classification. In

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How to Protect Your Online Privacy

How to Protect Your Online Privacy: PTA Guidelines for Online Safety

225 Comments / Life Hacks /

In today’s connected world, online privacy is an important concern for individuals everywhere. As we increasingly rely on the internet for daily activities like banking, shopping, and social networking, it’s crucial to know how to protect your online privacy. The Pakistan Telecommunication Authority (PTA) offers valuable guidelines to help people stay safe in the digital

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