Results 91 to 100 of about 15,689 (243)

A Custom Deep Learning Model With Explainable Artificial Intelligence for Interpretable Brain Tumor Classification

Engineering Reports, Volume 7, Issue 12, December 2025.
A custom deep learning model with explainable artificial intelligence for interpretable brain tumor classification. ABSTRACT Brain tumors are critical neurological disorders affecting mankind. The Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans play an important role in diagnosing brain tumors, but need an expert interpretation ...
Duppala Rohan, Boddepalli Yaswanth, V. S. Sai Vardhan, G. Pradeep Reddy, K. Purna Prakash, Y. V. Pavan Kumar   +5 more
wiley   +1 more source

Analisis Perbandingan Kinerja Metode Superpixel dan Gradien berbasis Edge Detector pada Pendeteksian Objek Bergerak

Jurnal Elkomika, 2020
ABSTRAK Salah satu bagian dalam algoritma pemrosesan citra adalah proses segmentasi yang menjadi tahap pra-pemrosesan untuk ekstraksi fitur objek. Superpixel menjadi salah satu solusi pada proses segmentasi dengan mendefenisikan kumpulan piksel yang ...
MUHAMMAD KHAERUL NAIM MURSALIM, IHSAN VERDIAN   +1 more
doaj   +1 more source

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

Modern Agriculture, Volume 3, Issue 2, December 2025.
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song, Haifeng Liang, Bingjie Lu, Jing Guo, Yuan Gao, Xiao Hu, Manlin Yang, Xiaofan Li, Zhenyu Wang, Yongqi Chen, Yinyin Zhang, Shen Su, Zhangyun Gao, Shijie Li, Ping Chen, Jing Wang, Wanneng Yang, Hui Feng   +17 more
wiley   +1 more source

AU-super: superpixel scale optimization and training data augmentation strategy for hyperspectral image classification

Frontiers in Remote Sensing
The spectral information of each pixel in hyperspectral images contains valuable information about object properties, although accurate labeling is required in supervised classification to guide the model in distinguishing different land cover types ...
Yiran Wang, Lingling Li, Mingming Xu, Shanwei Liu, Muhammad Yasir, Manuel Á. Aguilar, Fernando J. Aguilar   +6 more
doaj   +1 more source

Drone‐based polarization imaging system for leaf spot severity determination in peanut plants

The Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract In this study, we introduce a new approach for enhancing peanut phenotyping through a polarization imaging platform. With leaf spot disease posing significant threats to peanut (Arachis hypogae L.) crops, our research addresses the need for accurate and efficient detection methods.
Joshua Larsen, Jeffrey. Dunne, Robert Austin, Cassondra Newman, Michael Kudenov   +4 more
wiley   +1 more source

Enhanced Atrous Extractor and Self-Dynamic Gate Network for Superpixel Segmentation [PDF]

, 2023
Bing Liu, Zhaohao Zhong, Tongye Hu, Hongwei Zhao   +3 more
openalex   +1 more source

Relieve the Demand for Labeled Data of Deep Learning Models for Hydraulic Conductivity Field Tasks in Groundwater Through Self‐Supervised Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Deep learning (DL) has shown great potential in solving groundwater problems but often requires large labeled data sets, which are expensive and time‐consuming to obtain. In this study, we introduce a self‐supervised learning approach based on a masked autoencoder (MAE)—an encoder‐decoder architecture that reconstructs randomly masked input ...
Kai Ji, Zhengkun Zhou, Bo Zou, Ruiting Yang, Baoqing Zhang   +4 more
wiley   +1 more source

Improved Fast Generation of Superpixel Algorithms with Deep Network

Jisuanji kexue yu tansuo, 2020
Superpixels are the result of over-segmentation of the image and provide an intermediate representation of the image data. It plays an important role in the research of computer vision and other fields. However, the existing superpixel algorithms are non-
SHENG Jiachuan, WANG Jiayuan, LI Yuzhi, WANG Jun
doaj   +1 more source

CONIC: Contour Optimized Non-Iterative Clustering Superpixel Segmentation [PDF]

, 2021
Cheng Li, Baolong Guo, Nannan Liao, Jianglei Gong, Xiaodong Han, Shuwei Hou, Zhijie Chen, Wangpeng He   +7 more
openalex   +1 more source

Deteksi Teks Secara Otomatis Pada Natural Image Berbasis Superpixel Menggunakan Maximally Stable Extremal Regions dan Stroke Width Transform

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2017
Text detection in natural image is something to do before performing character recognition. The process of text detection plays an important role in the acquisition of information in an image.
Yohannes Yohannes
doaj   +1 more source