A review of automatic methods based on image processing techniques for tuberculosis detection from microscopic sputum smear images
Tuberculosis (TB) is an infectious disease caused by the bacteria Mycobacterium
tuberculosis. It primarily affects the lungs, but it can also affect other parts of the body. TB …
tuberculosis. It primarily affects the lungs, but it can also affect other parts of the body. TB …
Aptamers: novel molecules as diagnostic markers in bacterial and viral infections?
Worldwide the entire human population is at risk of infectious diseases of which a high
degree is caused by pathogenic protozoans, worms, bacteria, and virus infections. Moreover …
degree is caused by pathogenic protozoans, worms, bacteria, and virus infections. Moreover …
Motion compensation in extremity cone-beam CT using a penalized image sharpness criterion
A Sisniega, JW Stayman, J Yorkston… - Physics in Medicine …, 2017 - iopscience.iop.org
Cone-beam CT (CBCT) for musculoskeletal imaging would benefit from a method to reduce
the effects of involuntary patient motion. In particular, the continuing improvement in spatial …
the effects of involuntary patient motion. In particular, the continuing improvement in spatial …
Comparative analysis of autofocus functions in digital in-line phase-shifting holography
Numerical reconstruction of digital holograms relies on a precise knowledge of the original
object position. However, there are a number of relevant applications where this parameter …
object position. However, there are a number of relevant applications where this parameter …
Ziehl–Neelsen sputum smear microscopy image database: a resource to facilitate automated bacilli detection for tuberculosis diagnosis
MI Shah, S Mishra, VK Yadav… - Journal of Medical …, 2017 - spiedigitallibrary.org
Ziehl–Neelsen stained microscopy is a crucial bacteriological test for tuberculosis detection,
but its sensitivity is poor. According to the World Health Organization (WHO) …
but its sensitivity is poor. According to the World Health Organization (WHO) …
A spiking neural network model of depth from defocus for event-based neuromorphic vision
Depth from defocus is an important mechanism that enables vision systems to perceive
depth. While machine vision has developed several algorithms to estimate depth from the …
depth. While machine vision has developed several algorithms to estimate depth from the …
Learning-based classification of informative laryngoscopic frames
Abstract Background and Objective: Early-stage diagnosis of laryngeal cancer is of primary
importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly …
importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly …
Artificial intelligence–based screening for Mycobacteria in whole-slide images of tissue samples
L Pantanowitz, U Wu, L Seigh, E LoPresti… - American Journal of …, 2021 - academic.oup.com
Objectives This study aimed to develop and validate a deep learning algorithm to screen
digitized acid fast–stained (AFS) slides for mycobacteria within tissue sections. Methods A …
digitized acid fast–stained (AFS) slides for mycobacteria within tissue sections. Methods A …
Identification of robust focus measure functions for the automated capturing of focused images from Ziehl–Neelsen stained sputum smear microscopy slide
MI Shah, S Mishra, M Sarkar, C Rout - Cytometry Part A, 2017 - Wiley Online Library
Capturing of the best‐focused image using focus measure function (FMF) from a stack of
images acquired at different focus distances is a crucial step in automatic microscopy …
images acquired at different focus distances is a crucial step in automatic microscopy …
Focusall: Focal stacking of microscopic images using modified harris corner response measure
Automated image analysis of microscopic images such as protein crystallization images and
cellular images is one of the important research areas. If objects in a scene appear at …
cellular images is one of the important research areas. If objects in a scene appear at …