Enhancing Breast Cancer Diagnosis: A CNN-Based Approach for Medical Image Segmentation and Classification

被引：0
|
作者：
Saifullah, Shoffan [1 ,2 ]
Dreżewski, Rafal [1 ]
机构：
[1] Faculty of Computer Science, AGH University of Krakow, Krakow, Poland
[2] Department of Informatics, Universitas Pembangunan Nasional Veteran Yogyakarta, Yogyakarta, Indonesia
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2024年 / 14835 LNCS卷
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Computer aided diagnosis - Convolutional neural networks - Diseases - Image enhancement - Image segmentation - Medical imaging - Neural network models
引用
收藏
页码：155 / 162
相关论文
共 50 条
  • [1] Enhancing Breast Cancer Diagnosis: A CNN-Based Approach for Medical Image Segmentation and Classification
    Saifullah, Shoffan
    Drezewski, Rafal
    COMPUTATIONAL SCIENCE, ICCS 2024, PT IV, 2024, 14835 : 155 - 162
  • [2] CNN-based Approach for Enhancing Brain Tumor Image Classification Accuracy
    Muis, A.
    Sunardi, S.
    Yudhana, A.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2024, 37 (05): : 984 - 996
  • [3] CNN-based Approach for Enhancing Brain Tumor Image Classification Accuracy
    Muis, A.
    Sunardi, S.
    Yudhana, A.
    International Journal of Engineering, Transactions B: Applications, 2024, 37 (05): : 984 - 996
  • [4] CNN-Based CAD for Breast Cancer Classification in Digital Breast Tomosynthesis
    Yeh, Jinn-Yi
    Chan, Siwa
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON GRAPHICS AND SIGNAL PROCESSING (ICGSP 2018), 2018, : 26 - 30
  • [5] CNN-Based Quality Assurance for Automatic Segmentation of Breast Cancer in Radiotherapy
    Chen, Xinyuan
    Men, Kuo
    Chen, Bo
    Tang, Yu
    Zhang, Tao
    Wang, Shulian
    Li, Yexiong
    Dai, Jianrong
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [6] CNN-Based Ternary Classification for Image Steganalysis
    Kang, Sanghoon
    Park, Hanhoon
    Park, Jong-Il
    ELECTRONICS, 2019, 8 (11)
  • [7] A DenseNet CNN-based liver lesion prediction and classification for future medical diagnosis
    Prakash, N. Nanda
    Rajesh, V
    Namakhwa, Dumisani Lickson
    Pande, Sandeep Dwarkanath
    Ahammad, Sk Hasane
    SCIENTIFIC AFRICAN, 2023, 20
  • [8] Carcass image segmentation using CNN-based methods
    Gonçalves D.N.
    Weber V.A.D.M.
    Pistori J.G.B.
    Gomes R.D.C.
    de Araujo A.V.
    Pereira M.F.
    Gonçalves W.N.
    Pistori H.
    Pistori, Hemerson (pistori@ucdb.br), 1600, China Agricultural University (08) : 560 - 572
  • [9] AUTOMATED OBJECT LABELING FOR CNN-BASED IMAGE SEGMENTATION
    Novozamsky, A.
    Vit, D.
    Sroubek, F.
    Franc, J.
    Krbalek, M.
    Bilkova, Z.
    Zitova, B.
    2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2020, : 2036 - 2040
  • [10] CNN-Based Image Analysis for Malaria Diagnosis
    Liang, Zhaohui
    Powell, Andrew
    Ersoy, Ilker
    Poostchi, Mahdieh
    Silamut, Kamolrat
    Palaniappan, Kannappan
    Guo, Peng
    Hossain, Md Amir
    Sameer, Antani
    Maude, Richard James
    Huang, Jimmy Xiangji
    Jaeger, Stefan
    Thoma, George
    2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2016, : 493 - 496
12345