Self-Learning Network-based segmentation for real-time brain MR images through HARIS

PN Srinivasu, VE Balas - PeerJ Computer Science, 2021 - peerj.com
In recent years in medical imaging technology, the advancement for medical diagnosis, the
initial assessment of the ailment, and the abnormality have become challenging for …

Graphical image region extraction with k-means clustering and watershed

S Jardim, J António, C Mora - Journal of Imaging, 2022 - mdpi.com
With a wide range of applications, image segmentation is a complex and difficult
preprocessing step that plays an important role in automatic visual systems, which accuracy …

An maize leaf segmentation algorithm based on image repairing technology

P Wang, Y Zhang, B Jiang, J Hou - Computers and electronics in agriculture, 2020 - Elsevier
Maize is one of the three cereal crops in the world. The growth status of the maize is often
observed via camera. Segmentation of the maize plant from digital images is the basis of the …

Camouflaged locust segmentation based on PraNet

L Liu, M Liu, K Meng, L Yang, M Zhao, S Mei - Computers and Electronics in …, 2022 - Elsevier
Locusts are harmful to plant, precise detection and segmentation of them can assist plant
protection robot in catching and killing locusts. However, locusts often have similar colors …

Psoriasis Skin Disease Identification Using Support Vector Machine (SVM) Image Classification and Determining the Growth Rate

TR Thamizhvani, AK Ajayan, V Sannidhya… - Journal of Physics …, 2022 - iopscience.iop.org
In the Indian population, a larger part is under the subsistence level. Most of the people are
living in areas of poor sanitation and have very little access to good medical facilities. From …

Sonar Objective Detection Based on Dilated Separable Densely Connected CNNs and Quantum‐Behaved PSO Algorithm

Z Wang, B Wang, J Guo, S Zhang - Computational Intelligence …, 2021 - Wiley Online Library
Underwater sonar objective detection plays an important role in the field of ocean
exploration. In order to solve the problem of sonar objective detection under the complex …

Weakly Supervised Image Annotation and Segmentation

D Naik, CD Jaidhar - 2021 12th International Conference on …, 2021 - ieeexplore.ieee.org
The various aspects in the processing of an image include object recognition, object
classification, image segmentation, and attribute learning, are closely related to each other …

[图书][B] Improving deep neural network training with batch size and learning rate optimization for head and neck tumor segmentation on 2D and 3D medical images

Z Douglas - 2022 - search.proquest.com
Medical imaging is a key tool used in healthcare to diagnose and prognose patients by
aiding the detection of a variety of diseases and conditions. In practice, medical image …