Radiology Imaging Scans for Early Diagnosis of Kidney Tumors: A Review of Data Analytics-Based Machine Learning and Deep Learning Approaches
Maha Gharaibeh, Dalia Alzu’bi, Malak Abdullah, Ismail Hmeidi, Mohammad Rustom Al Nasar, Laith Abualigah, Amir H. Gandomi
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.3390/bdcc6010029 ↗
- Volume · Issue · Pages
- 6 · 1 · 29-29
- Publisher
- MDPI AG
- Article URL
- https://doi.org/10.3390/bdcc6010029 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
08 Mar 2022
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 08 Mar 2022 | OpenAlex |
Keywords (as given): kidney tumors; early diagnosis; radiology imaging; deep learning; machine learning; medical image segmentation; tumor classification; automatic tumor detection; data analytics; kidney cancer
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
X
Based on the recorded HEC dataset applicable to the article's publication date. Listed as X in the HEC list for hjrs 2021-22 V2.
- Journal
- Big Data and Cognitive Computing
- Publication date used
- 08 Mar 2022 (OpenAlex publication date)
- Applicable HEC period
- hjrs 2021-22 V2 (version 1) · 01 Jul 2021 – 30 Jun 2022
- Category
- X
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2021-22 row 17133
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.