Kidney disease is widespread and poses serious health risks. Therefore, early detection of kidney diseases is crucial for providing patients with timely medical care, thus improving their chances of survival. Conventional means of diagnosing is laborious and at times biased. Hence, computer aided diagnosis (CAD) has been promoted to facilitate this issue. This study investigates the ability of different feature-based transfer learning pipelines in its ability to classify four different types of kidney diseases from histopathological images of the tissues. The InceptionV3, VGG16 and VGG19 pre-trained convolutional neural network models were used to extract the features from the images, and consequently the fully connected layers of the pre-trained models were swapped with an instance-based classifier, namely k-Nearest Neighbors (kNN). It was shown from the study that the InceptionV3 + kNN pipeline was able to discriminate the different classes significantly well on both the validation and test dataset. This suggest that the proposed technique is an efficient means for classifying kidney diseases and a promising CAD approach.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The Classification of Kidney Disease: A Feature-Based Transfer Learning Approach


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Abdul Majeed, Anwar P.P. (Herausgeber:in) / Yap, Eng Hwa (Herausgeber:in) / Liu, Pengcheng (Herausgeber:in) / Huang, Xiaowei (Herausgeber:in) / Nguyen, Anh (Herausgeber:in) / Chen, Wei (Herausgeber:in) / Kim, Ue-Hwan (Herausgeber:in) / Xu, Yifeng (Autor:in) / He, Haoyu (Autor:in) / Majeed, Anwar P. P. Abdul (Autor:in)

    Kongress:

    International Conference on Robot Intelligence Technology and Applications ; 2023 ; Taicang December 06, 2023 - December 08, 2023



    Erscheinungsdatum :

    29.11.2024


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    The Classification of Alzheimer’s Disease: A Transfer Learning Approach

    He, Haoyu / Xu, Yifeng / Abdul Majeed, Anwar P. P. | Springer Verlag | 2024


    The Classification of Semiconductor Wafer Defects by Means of Feature-based Transfer Learning Approach

    Xuen, Lim Shi / Jizat, Jesnor Arif Mat / Khairuddin, Ismail Mohd et al. | Springer Verlag | 2024


    Image Feature Based Machine Learning Approach for Road Terrain Classification

    Chen, Yang / Zhang, Pengfei / Wang, Shifeng et al. | British Library Conference Proceedings | 2018


    The Classification of Brain Tumours by Means of Feature-Based Transfer Learning

    Wu, Chengzhangzheng / Yang, Junqing / Liu, Taimingwang et al. | Springer Verlag | 2024


    Surface Defect Detection: An Approach Utilising Feature-Based Transfer Learning

    Yang, Junqing / Wu, Chengzhangzheng / Liu, Taimingwang et al. | Springer Verlag | 2024