We suggest a low cost, non invasive healthcare system that measures haemoglobin levels in patients and can be used as a preliminary diagnostic test for anaemia. A combination of image processing, machine learning and deep learning techniques are empl...
This project was conducted to predict anaemia with deep learning models using conjuctiva images. (⭐ 2)
Accurate and reliable Magnetic Resonance Imaging (MRI) analysis is particularly important for adaptive radiotherapy, a recent medical advance capable of improving cancer diagnosis and treatment. Recent studies have shown that IVIM-NET, a deep neural...
Several important security issues of Deep Neural Network (DNN) have been raised recently associated with different applications and components. The most widely investigated security concern of DNN is from its malicious input, a.k.a adversarial exampl...
Short inversion time inversion recovery (STIR) MRI is widely used in clinical practice to identify and quantify inflammation in axial spondyloarthritis. However, assessment of STIR images is limited by the need for qualitative evaluation, which depen...
infections. These bites are typically deep cutting into the skin where the infection forms. There are several creatures with non-lethal bites that may cause
Sequential regulatory activity predictions with deep convolutional neural networks. (⭐ 466)
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis (⭐ 59)
Due to their high predictive performance, predictive maintenance applications have increasingly been approached with Deep Learning techniques in recent years. However, as in other real-world application scenarios, the need for explainability is often...
Recent works for time-series forecasting more and more leverage the high predictive power of Deep Learning models. With this increase in model complexity, however, comes a lack in understanding of the underlying model decision process, which is probl...
At KPMG, what sets us apart isn't just what we do, it's how we do it. We’re leveraging deep expertise and innovative technology to turn insights into opportunity and move business and innovation …
At KPMG, what sets us apart isn't just what we do, it's how we do it. We’re leveraging deep expertise and innovative technology to turn insights into opportunity and move business and innovation …
At KPMG, what sets us apart isn't just what we do, it's how we do it. We’re leveraging deep expertise and innovative technology to turn insights into opportunity and move business and innovation …
At KPMG, what sets us apart isn't just what we do, it's how we do it. We’re leveraging deep expertise and innovative technology to turn insights into opportunity and move business and innovation …
At KPMG, what sets us apart isn't just what we do, it's how we do it. We’re leveraging deep expertise and innovative technology to turn insights into opportunity and move business and innovation …
Feb 20, 2026 · From crispy, thin crusts to gooey deep-dish delights, we’ve tracked down London’s best pizzas – just follow the trail of cheese pulls!
A non-parametric interpretable texture synthesis method, called the NITES method, is proposed in this work. Although automatic synthesis of visually pleasant texture can be achieved by deep neural networks nowadays, the associated generation models a...
this women’s history month we’re rewatching video essays, doing deep dives, and celebrating the creators who continue to change our feeds for good ?
Project Genie is an experimental research prototype that lets you create and explore infinitely diverse worlds. Simply use a text or image prompt to generate interactive environments that build in...
Jan 28, 2025 · This article delves deeply into what Google DeepMind is, its key developments, notable projects, and the potential ramifications of its technologies across various sectors.