Results 81 to 90 of about 329,129 (169)

Expression of BerEP4 and CD10 IHC Markers in Basal Cell Carcinoma, Squamous Cell Carcinoma and Adnexal Tumours of Follicular Differentiation: A Comparative Study.

Indian J Dermatol, 2023
Shabeer N, Nair NG, Vijayaraghavan L.
europepmc   +1 more source

Simultaneous Laryngeal Squamous Cell Carcinoma and Papillary Thyroid Carcinoma

Middle East Journal of Cancer, 2011
The association of squamous cell carcinoma of the larynx with thyroid papillary carcinoma is an unusual finding. From 2004 to 2011, approximately 250 patients underwent laryngectomies due to squamous cell carcinoma of the larynx at the Otolaryngology ...
Bighan Khademi, Negar Azarpira, Mehr Sadat Alavi, Mohamad Javad Ashraf   +3 more
doaj  

Histopathological Diagnostic Discordance between Punch Biopsies and Final Diagnostic Excisions of Cutaneous Squamous Cell Carcinoma: Analysis of 737 Cases

Acta Dermato-Venereologica
The recommended treatment for cutaneous squamous cell carcinoma is surgical excision. An initial punch biopsy is often performed as an aid to diagnosis.
Katherine Hopkins, Åsa Ingvar, Johan Palmgren, Valdis Thorhallsdottir, Kari Nielsen, Karim Saleh   +5 more
doaj   +1 more source

Expression of long non-coding RNA SFTA1P and its effect on biological functions in lung squamous cell carcinoma

陆军军医大学学报
Objective To investigate the expression of long non-coding RNA (lncRNA), surfactant associated 1 pseudogene (SFTA1P) in lung squamous carcinoma and its effect on the biological functions of SFTA1P in lung squamous carcinoma cell lines.
WAN Weiping, XIE Weijia, XIA Tingting
doaj   +1 more source

Oral squamous cell detection using deep learning [PDF]

arXiv
Oral squamous cell carcinoma (OSCC) represents a significant global health concern, with increasing incidence rates and challenges in early diagnosis and treatment planning. Early detection is crucial for improving patient outcomes and survival rates. Deep learning, a subset of machine learning, has shown remarkable progress in extracting and analyzing
arxiv  

Differentiating between Squamous Cell Carcinoma and Pigmented Squamous Cell Carcinoma [PDF]

Ear, Nose & Throat Journal, 2005
William E. Chapman, Christopher Y. Chang, Julia A. Furdyna   +2 more
openaire   +2 more sources

Metastatic esophageal carcinosarcoma comprising neuroendocrine carcinoma, squamous cell carcinoma, and sarcoma: A case report. [PDF]

Medicine (Baltimore), 2018
Tsuchihashi K, Arita S, Fujiwara M, Iwasaki K, Hirano A, Yoshihiro T, Nio K, Koga Y, Esaki M, Ariyama H, Kusaba H, Moriyama T, Ohuchida K, Nagai E, Nakamura M, Oda Y, Akashi K, Baba E.   +17 more
europepmc   +1 more source

CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma [PDF]

arXiv
Causal machine learning (CML) enables individualized estimation of treatment effects, offering critical advantages over traditional correlation-based methods. However, existing approaches for medical survival data with censoring such as causal survival forests estimate effects at fixed time points, limiting their ability to capture dynamic changes over
arxiv  

miRNA-199b-5p suppresses of oral squamous cell carcinoma by targeting apical-basolateral polarity via Scribble/Lgl

Molecular Therapy: Nucleic Acids
In epithelial cells, Scribble forms cell-cell junctions and contributes to cell morphology and homeostasis by regulating apical-basolateral polarity in mammals and functions as a tumor suppressor in many carcinomas. The initial diagnosis of oral squamous
Shihyun Kim, Suyeon Park, Yong-Jae Kim, Jeongeun Hyun, Jongho Choi   +4 more
doaj  

Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models [PDF]

arXiv
Today, skin cancer is considered as one of the most dangerous and common cancers in the world which demands special attention. Skin cancer may be developed in different types; including melanoma, actinic keratosis, basal cell carcinoma, squamous cell carcinoma, and Merkel cell carcinoma. Among them, melanoma is more unpredictable.
arxiv