A framework for efficient brain tumor classification using MRI images
A brain tumor is an abnormal growth of brain cells inside the head, which reduces the
patient's survival chance if it is not diagnosed at an earlier stage. Brain tumors vary in size …
patient's survival chance if it is not diagnosed at an earlier stage. Brain tumors vary in size …
An improved object detection algorithm based on multi-scaled and deformable convolutional neural networks
D Cao, Z Chen, L Gao - Human-centric Computing and Information …, 2020 - Springer
Object detection methods aim to identify all target objects in the target image and determine
the categories and position information in order to achieve machine vision understanding …
the categories and position information in order to achieve machine vision understanding …
CNN-based 3D object classification using Hough space of LiDAR point clouds
With the wide application of Light Detection and Ranging (LiDAR) in the collection of high-
precision environmental point cloud information, three-dimensional (3D) object classification …
precision environmental point cloud information, three-dimensional (3D) object classification …
[PDF][PDF] A Region-Based Efficient Network for Accurate Object Detection.
Accepted: 27 February 2021 Object detection in images is an important task in image
processing and computer vision. Many approaches are available for object detection. For …
processing and computer vision. Many approaches are available for object detection. For …
[PDF][PDF] An Object Detection Framework Based on Deep Features and High-Quality Object Locations.
Accepted: 5 May 2021 Objection detection has long been a fundamental issue in computer
vision. Despite being widely studied, it remains a challenging task in the current body of …
vision. Despite being widely studied, it remains a challenging task in the current body of …
[PDF][PDF] An Efficient Method for Underwater Video Summarization and Object Detection Using YoLoV3.
Currently, worldwide industries and communities are concerned with building, expanding,
and exploring the assets and resources found in the oceans and seas. More precisely, to …
and exploring the assets and resources found in the oceans and seas. More precisely, to …
Applications of machine learning in medicine: Current trends and prospects
With the continuous development of information technology and medical data information,
more and more clinicians recognize artificial intelligence or will completely change medical …
more and more clinicians recognize artificial intelligence or will completely change medical …
[PDF][PDF] A Progressive Approach to Generic Object Detection: A Two-Stage Framework for Image Recognition.
Object detection in images has been identified as a critical area of research in computer
vision image processing. Research has developed several novel methods for determining …
vision image processing. Research has developed several novel methods for determining …
Industrial process monitoring and fault diagnosis based on temporal attention augmented deep network
K Mu, L Luo, Q Wang, F Mao - Journal of Information Processing …, 2021 - koreascience.kr
Following the intuition that the local information in time instances is hardly incorporated into
the posterior sequence in long short-term memory (LSTM), this paper proposes an attention …
the posterior sequence in long short-term memory (LSTM), this paper proposes an attention …
Cyclist detection and tracking based on multi-layer laser scanner
M Zhang, R Fu, Y Guo, L Wang, P Wang… - Human-centric Computing …, 2020 - Springer
Abstract The technology of Artificial Intelligence (AI) brings tremendous possibilities for
autonomous vehicle applications. One of the essential tasks of autonomous vehicle is …
autonomous vehicle applications. One of the essential tasks of autonomous vehicle is …