A comprehensive survey on brain tumor diagnosis using deep learning and emerging hybrid techniques with multi-modal MR image
The brain tumor is considered the deadly disease of the century. At present, neuroscience
and artificial intelligence conspire in the timely delineation, detection, and classification of …
and artificial intelligence conspire in the timely delineation, detection, and classification of …
State-of-the-Art challenges and perspectives in multi-organ cancer diagnosis via deep learning-based methods
Simple Summary Cancer is a deadly disease that needs to be diagnose at early stage to
increase patient survival rate. Multi-organ (such as breast, brain, lung, and skin) cancer …
increase patient survival rate. Multi-organ (such as breast, brain, lung, and skin) cancer …
EA-CNN: A smart indoor 3D positioning scheme based on Wi-Fi fingerprinting and deep learning
Accurate indoor location information in multi-building/floor environments is essential for
establishing many indoor location-based services (LBS). Wi-Fi fingerprinting with received …
establishing many indoor location-based services (LBS). Wi-Fi fingerprinting with received …
Pulse repetition interval modulation recognition using deep CNN evolved by extreme learning machines and IP-based BBO algorithm
Pulse repetition interval modulation (PRIM) recognition is a critical task in electronic
intelligence (ELINT) and electronic support measure (ESM) systems for detecting radar …
intelligence (ELINT) and electronic support measure (ESM) systems for detecting radar …
A novel technique for handwritten digit recognition using deep learning
Handwritten digit recognition (HDR) shows a significant application in the area of
information processing. However, correct recognition of such characters from images is a …
information processing. However, correct recognition of such characters from images is a …
Implementation of a character recognition system based on finger-joint tracking using a depth camera
The joint tracking-based writing system refers to writing characters by changing the position
of the finger joint. It is a new research field in interaction-based input systems. However, joint …
of the finger joint. It is a new research field in interaction-based input systems. However, joint …
[HTML][HTML] Handwritten numeral recognition through superimposition onto printed form
Handwriting is, eventually, a variation of the printed forms where the characters are little
larger, smaller, angled and deformed than the printed forms. The small changes in …
larger, smaller, angled and deformed than the printed forms. The small changes in …
Breast mass detection and classification using deep convolutional neural networks for radiologist diagnosis assistance
Several developments in computational image processing methods assist the radiologist in
detecting abnormal breast tissue in recent years. Consequently, deep learning-based …
detecting abnormal breast tissue in recent years. Consequently, deep learning-based …
A recognition model for handwritten Persian/Arabic numbers based on optimized deep convolutional neural network
Recently, artificial intelligence-based applications are universally acknowledged. Digit
recognition, particularly Persian/Arabic handwritten digits, has many applications in today's …
recognition, particularly Persian/Arabic handwritten digits, has many applications in today's …
Groundwater fluoride prediction modeling using physicochemical parameters in Punjab, India: a machine-learning approach
Introduction Rising fluoride levels in groundwater resources have become a worldwide
concern, presenting a significant challenge to the safe utilization of water resources and …
concern, presenting a significant challenge to the safe utilization of water resources and …