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A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
Diagnostic accuracy of machine learning AI architectures in detection and classification of lung cancer: a systematic review
AC Pacurari, S Bhattarai, A Muhammad, C Avram… - Diagnostics, 2023 - mdpi.com
The application of artificial intelligence (AI) in diagnostic imaging has gained significant
interest in recent years, particularly in lung cancer detection. This systematic review aims to …
interest in recent years, particularly in lung cancer detection. This systematic review aims to …
Deep learning approaches for COVID-19 detection based on chest X-ray images
COVID-19 is a novel virus that causes infection in both the upper respiratory tract and the
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
Transfer learning with deep convolutional neural network (CNN) for pneumonia detection using chest X-ray
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either
bacterial or viral infection. It can be life-endangering if not acted upon at the right time and …
bacterial or viral infection. It can be life-endangering if not acted upon at the right time and …
A novel transfer learning based approach for pneumonia detection in chest X-ray images
Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …
Pulmonary image classification based on inception-v3 transfer learning model
C Wang, D Chen, L Hao, X Liu, Y Zeng, J Chen… - IEEE …, 2019 - ieeexplore.ieee.org
Chest X-ray film is the most widely used and common method of clinical examination for
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …
[HTML][HTML] Liver tumor segmentation in CT scans using modified SegNet
S Almotairi, G Kareem, M Aouf, B Almutairi… - Sensors, 2020 - mdpi.com
The main cause of death related to cancer worldwide is from hepatic cancer. Detection of
hepatic cancer early using computed tomography (CT) could prevent millions of patients' …
hepatic cancer early using computed tomography (CT) could prevent millions of patients' …
[HTML][HTML] A novel method for detection of tuberculosis in chest radiographs using artificial ecosystem-based optimisation of deep neural network features
Tuberculosis (TB) is is an infectious disease that generally attacks the lungs and causes
death for millions of people annually. Chest radiography and deep-learning-based image …
death for millions of people annually. Chest radiography and deep-learning-based image …
Probabilistic physics-guided machine learning for fatigue data analysis
Abstract A Probabilistic Physics-guided Neural Network (PPgNN) is proposed in this paper
for probabilistic fatigue SN curve estimation. The proposed model overcomes the limitations …
for probabilistic fatigue SN curve estimation. The proposed model overcomes the limitations …
Pre-processing methods in chest X-ray image classification
Background The SARS-CoV-2 pandemic began in early 2020, paralyzing human life all over
the world and threatening our security. Thus, the need for an effective, novel approach to …
the world and threatening our security. Thus, the need for an effective, novel approach to …