In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

Abstract Multiple Instance Learning (MIL) is a learning paradigm, where training instances
are arranged in sets, called bags, and only bag-level labels are available during training …

This article presents a systematic review of Multiple Instance Learning (MIL) applied to
image classification, specifically highlighting its applications in medical imaging. Motivated …

Abstract Knowledge of protein expression in mammalian brains at regional and cellular
levels can facilitate understanding of protein functions and associated diseases. As the …

The outcome of cancer patients mostly depends on the diagnosis process and the treatment
strategies. Computer-aided diagnosis (CAD) methods have demonstrated the potential to …

Pulmonary fibrosis is a progressive lung illness, it usually gets worse over time as the
disease progresses. Scarring develops in the lungs as a result of this condition over time. As …

This paper is about the predicting the accuracy of different optimal lung disease prediction
models. Basically, in this, multiple lung diseases are detected by training on different models …

The paper is about the optimal lung disease prediction model. Basically, in this, multiple
lung diseases are detected by training a convolutional neural network. And used a deep …

In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …