[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …
COVID-19 and chest radiography has an important role in the detection, and subsequent …
A comprehensive review on advancement in deep learning techniques for automatic detection of tuberculosis from chest X-ray images
Tuberculosis is an infectious disease caused by a widely spread microbe called
Mycobacterium tuberculosis (MTB). Tuberculosis (TB) detection with chest x-ray images is …
Mycobacterium tuberculosis (MTB). Tuberculosis (TB) detection with chest x-ray images is …
Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN
Saffron is a well-known product in the food industry. It is one of the spices that are
sometimes adulterated with the sole motive of gaining more economic profit. Today …
sometimes adulterated with the sole motive of gaining more economic profit. Today …
[HTML][HTML] Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques
Increasing marketability and waste management of agricultural products require quality
assessment. Meanwhile, their marketability is largely affected by their shapes and overall …
assessment. Meanwhile, their marketability is largely affected by their shapes and overall …
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Fruit infected by pests or diseases and fruit harvests with different levels of ripeness cause a
lack of marketability, decrease in economic value, and increase in crop waste. In this study …
lack of marketability, decrease in economic value, and increase in crop waste. In this study …
A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification
The brain tumor is one of the deadliest diseases of all cancers. Influenced by the recent
developments of convolutional neural networks (CNNs) in medical imaging, we have formed …
developments of convolutional neural networks (CNNs) in medical imaging, we have formed …
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Z Chen, D Song - International Journal of Digital Earth, 2023 - Taylor & Francis
Landslides are one of the most common geological hazards worldwide, especially in
Sichuan Province (Southwest China). The current study's main purposes are to explore the …
Sichuan Province (Southwest China). The current study's main purposes are to explore the …
An efficient deep learning-based framework for tuberculosis detection using chest X-ray images
Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease,
decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the …
decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the …
Lung diseases detection using various deep learning algorithms
M Jasmine Pemeena Priyadarsini… - Journal of healthcare …, 2023 - Wiley Online Library
The primary objective of this proposed framework work is to detect and classify various lung
diseases such as pneumonia, tuberculosis, and lung cancer from standard X‐ray images …
diseases such as pneumonia, tuberculosis, and lung cancer from standard X‐ray images …
Drug-resistant tuberculosis treatment recommendation, and multi-class tuberculosis detection and classification using ensemble deep learning-based system
This research develops the TB/non-TB detection and drug-resistant categorization diagnosis
decision support system (TB-DRC-DSS). The model is capable of detecting both TB …
decision support system (TB-DRC-DSS). The model is capable of detecting both TB …