Medical ai for early detection of lung cancer: A survey

G Cai, Y Cai, Z Zhang, Y Cao, L Wu, D Ergu… - arXiv preprint arXiv …, 2024 - arxiv.org
Lung cancer remains one of the leading causes of morbidity and mortality worldwide,
making early diagnosis critical for improving therapeutic outcomes and patient prognosis …

Improved YOLOv4-tiny based on attention mechanism for skin detection

P Li, T Han, Y Ren, P Xu, H Yu - PeerJ Computer Science, 2023 - peerj.com
Background An automatic bathing robot needs to identify the area to be bathed in order to
perform visually-guided bathing tasks. Skin detection is the first step. The deep convolutional …

Automated system for lung nodule classification based on resnet50 and svm

SD Bhatt, HB Soni, HR Kher… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
In this paper, a hybrid strategy is developed that combines deep learning for feature
extraction with machine learning for feature categorization. The initial step starts with …

Non-Invasive Measurement of Arterial pH During Cardiopulmonary Bypass.

BA Al-Ghali, HH Alzubeidy… - International Journal of …, 2022 - search.ebscohost.com
Blood pH is an essential parameter to determine the patient's acid-base status during
cardiopulmonary bypass. To date, continuous pH measurement is usually done by …

Beyond Words: Exploring Co-Attention with BERT in Visual Question Answering

N Kamble, S Karamadi, S Varur… - 2024 5th International …, 2024 - ieeexplore.ieee.org
The Visual Question Answering project described in this work uses a multi-modal approach
that combines Bidirectional Encoder Representations from Transformers for complex natural …

Automatic Lung Nodules Detection Using a Modified YOLOv5

SD Bhatt, MB Astik, HB Soni - Journal of Biomimetics, Biomaterials …, 2024 - Trans Tech Publ
Lung cancer diagnosis involves a detection strategy to determine the specific location of the
abnormality and its likelihood whether cancerous or non-cancerous. In existing methods …