Correction to: Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey (Life, (2023), 13, 1, (146), 10.3390/life13010146)

Mehwish Zafar; Muhammad Imran Sharif; Muhammad Irfan Sharif; Seifedine Kadry; Syed Ahmad Chan Bukhari; Hafiz Tayyab Rauf

doi:10.3390/life15020316

Correction to: Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey (Life, (2023), 13, 1, (146), 10.3390/life13010146)

Mehwish Zafar
, Muhammad Imran Sharif
, Muhammad Irfan Sharif
, Seifedine Kadry
, Syed Ahmad Chan Bukhari
, Hafiz Tayyab Rauf

Artificial Intelligence Research Center (AIRC)

COMSATS University Islamabad
University of Education
Noroff University College
Lebanese American University
St. John’s University
Independent Researcher

Research output: Contribution to journal › Comment/debate

Abstract

In the published publication [1], there was an error regarding the affiliation for Hafiz Tayyab Rauf. The updated affiliation should be as follows: Independent Researcher, Bradford BD8 0HS, UK. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Original language	English
Article number	316
Journal	Life
Volume	15
Issue number	2
DOIs	https://doi.org/10.3390/life15020316
State	Published - Feb 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.3390/life15020316

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@article{f8564ddeab024177b99e4f8b276355b8,

title = "Correction to: Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey (Life, (2023), 13, 1, (146), 10.3390/life13010146)",

abstract = "In the published publication [1], there was an error regarding the affiliation for Hafiz Tayyab Rauf. The updated affiliation should be as follows: Independent Researcher, Bradford BD8 0HS, UK. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.",

author = "Mehwish Zafar and Sharif, \{Muhammad Imran\} and Sharif, \{Muhammad Irfan\} and Seifedine Kadry and Bukhari, \{Syed Ahmad Chan\} and Rauf, \{Hafiz Tayyab\}",

note = "Publisher Copyright: {\textcopyright} 2025 by the authors.",

year = "2025",

month = feb,

doi = "10.3390/life15020316",

language = "English",

volume = "15",

journal = "Life",

issn = "2075-1729",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "2",

}

TY - JOUR

T1 - Correction to

T2 - Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey (Life, (2023), 13, 1, (146), 10.3390/life13010146)

AU - Zafar, Mehwish

AU - Sharif, Muhammad Imran

AU - Sharif, Muhammad Irfan

AU - Kadry, Seifedine

AU - Bukhari, Syed Ahmad Chan

AU - Rauf, Hafiz Tayyab

PY - 2025/2

Y1 - 2025/2

N2 - In the published publication [1], there was an error regarding the affiliation for Hafiz Tayyab Rauf. The updated affiliation should be as follows: Independent Researcher, Bradford BD8 0HS, UK. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

AB - In the published publication [1], there was an error regarding the affiliation for Hafiz Tayyab Rauf. The updated affiliation should be as follows: Independent Researcher, Bradford BD8 0HS, UK. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

UR - https://www.scopus.com/pages/publications/85219036289

U2 - 10.3390/life15020316

DO - 10.3390/life15020316

M3 - Comment/debate

AN - SCOPUS:85219036289

SN - 2075-1729

VL - 15

JO - Life

JF - Life

IS - 2

M1 - 316

ER -

Correction to: Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey (Life, (2023), 13, 1, (146), 10.3390/life13010146)

Abstract

UN SDGs

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