Yasmeen Al-Saeed^1,2, Wael A. Gab-Allah¹, Hassan Soliman¹, Maysoon F. Abulkhair³, Wafaa M. Shalash⁴, Mohammed Elmogy^1,*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4871-4894, 2022, DOI:10.32604/cmc.2022.023638

Abstract One of the leading causes of mortality worldwide is liver cancer. The earlier the detection of hepatic tumors, the lower the mortality rate. This paper introduces a computer-aided diagnosis system to extract hepatic tumors from computed tomography scans and classify them into malignant or benign tumors. Segmenting hepatic tumors from computed tomography scans is considered a challenging task due to the fuzziness in the liver pixel range, intensity values overlap between the liver and neighboring organs, high noise from computed tomography scanner, and large variance in tumors shapes. The proposed method consists of three main stages; liver segmentation using Fast… More >

Fuat Turk^1,*, Murat Luy², Necaattin Barışçı³, Fikret Yalçınkaya⁴

Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 349-363, 2022, DOI:10.32604/iasc.2022.023710

Abstract Cases of kidney cancer have shown a rapid increase in recent years. Advanced technology has allowed bettering the existing treatment methods. Research on the subject is still continuing. Medical segmentation is also of increasing importance. In particular, deep learning-based studies are of great importance for accurate segmentation. Tumor detection is a relatively difficult procedure for soft tissue organs such as kidneys and the prostate. Kidney tumors, specifically, are a type of cancer with a higher incidence in older people. As age progresses, the importance of having diagnostic tests increases. In some cases, patients with kidney tumors may not show any… More >

T. Jeslin^1,*, J. Arul Linsely²

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 171-182, 2022, DOI:10.32604/cmc.2022.020255

Abstract Brain cancer is the premier reason for cancer deaths all over the world. The diagnosis of brain cancer at an initial stage is mediocre, as the radiologist is ineffectual. Different experiments have been conducted and demonstrated clearly that the algorithms for nodule segmentation are unsuccessful. Therefore, the research has consolidated incremental clustering focused on superpixel segmentation as an appropriate optimization approach for the accurate segmentation of pulmonary nodules. The key aim of the research is to refine brain CT images to accurately distinguish tumors and the segmentation of small-scale anomalous nodules in the brain region. In the beginning stage, an… More >

Aihong Yu¹, Zhe Liu^1,*, Victor S. Sheng², Yuqing Song¹, Xuesheng Liu³, Chongya Ma⁴, Wenqiang Wang¹, Cong Ma¹

Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 589-599, 2021, DOI:10.32604/iasc.2021.019513

Abstract Liver cancer is one of frequent causes of death from malignancy in the world. Owing to the outstanding advantages of computer-aided diagnosis and deep learning, fully automatic segmentation of computed tomography (CT) images turned into a research hotspot over the years. The liver has quite low contrast with the surrounding tissues, together with its lesion areas are thoroughly complex. To deal with these problems, we proposed effective methods for enhancing features and processed public datasets from Liver Tumor Segmentation Challenge (LITS) for the verification. In this experiment, data pre-processing based on the image enhancement and noise reduction. This study redesigned… More >

FRANCESCO MAININI^*

BIOCELL, Vol.45, No.5, pp. 1171-1173, 2021, DOI:10.32604/biocell.2021.017399

Abstract Adoptive cell therapy and Immune Checkpoint Blockade Inhibitors have recently revolutionized the field of oncology. However, these types of immunotherapeutic approaches have limited success in treating solid tumors. In particular, chimeric antigen receptor (CAR)-T cells efficacy is hampered by immunosuppressive signals in the tumor microenvironment (TME) and by a limited infiltration of re-infused T cells to the tumor site. The field of nanobiotechnology applied to oncology is also rapidly expanding. Nanoparticles-based delivery systems can be employed to modulate the activity of immune cells present in the TME enhancing the efficacy of CAR-T cells. Interestingly, nano-backpacks can be attached to CAR-T… More >

ALFONSO BLÁZQUEZ-CASTRO^1,2,*, JUAN CARLOS STOCKERT^2,3

BIOCELL, Vol.45, No.4, pp. 849-862, 2021, DOI:10.32604/biocell.2021.015900

Abstract Melanins (eumelanin, pheomelanin, and allomelanin) represent a very, if not the most, important group of biological pigments. Their biological roles are multiple, from photoprotection to antioxidant activity, heavy metal disposal or the myriad uses of color in organisms across all Phyla. In the first part of this review, eumelanin biology and some chemical aspects will be presented, as well as key physico-chemical features that make this biological pigment so interesting. The principal characteristics of the melanocyte, the melanin-synthesizing cell in mammals, will also be introduced. Transformed melanocytes are the cause of one of the most devastating known cancers: the malignant… More >

J.-Y. Scoazec

Oncologie, Vol.21, No.2, pp. 119-124, 2019, DOI:10.3166/onco-2019-0052

Abstract The WHO classification of the tumors of endocrine organs, published in July 2017 and that of digestive tumors, released in July 2019, have introduced significant changes in the classification of gastro-entero-pancreatic neuroendocrine tumors (NETs), which was unchanged since 2010. The main change is a new category of well-differentiated neoplasms, NET G3, in addition to the two previous categories NET G1 and NET G2. The other changes are: 1) the cut-off in Ki-67 index between NET G1 and G2, now set at 3%, 2) the term used for mixed tumors: MiNEN (mixed neuroendocrine-non neuroendocrine neoplasm) instead of MANEC (mixed adenoneuroendocrine carcinoma).… More >

R. Coriat

Oncologie, Vol.21, No.2, pp. 75-81, 2019, DOI:10.3166/onco-2019-0046

Abstract Pancreatic neuroendocrine tumours are the tumours developed at the expense of pancreas and require a specific diagnostic assessment. The imaging assessment of a pancreatic neuroendocrine tumour is useful for diagnosis as well as for surgical/medical treatment. Recently, a number of advances have been made in the field of imaging pancreatic neuroendocrine tumours, in particular in functional imaging using radiolabelled somatostatin analogues. In this review, we approach diagnostic progress by focusing on the advances of recent years. Thus, the interest of conventional imaging (scanner, abdominal ultrasound, and magnetic resonance imaging), ultrasound endoscopy and the place of functional imaging mainly with radiolabelled… More >

D. Grazziotin-Soares, J.-P. Lotz

Oncologie, Vol.21, No.1, pp. 49-51, 2019, DOI:10.3166/onco-2019-0037

Abstract This article has no abstract. More >

Sophie Gardrat^*, Vincent Cockenpot

Oncologie, Vol.22, No.4, pp. 195-202, 2020, DOI:10.32604/oncologie.2020.013698

Abstract The pathological examination of ocular tumors has specificities in terms of macroscopic management, microscopic analysis, and molecular examinations requiring special attention. We discuss here the difficulties encountered in the reception in the pathological anatomy laboratory of conjunctival samples, enucleation and orbital exenteration pieces, then detail the diagnostic and theranostic, microscopic and molecular characteristics of ocular tumor pathologies. Conjunctival tumors (epithelial, melanocytic and lymphoid), choroidal tumors (including uveal melanoma) and retinoblastoma are treated. Because of their low frequency and their features, these tumors should be the subject of anatomo-clinical discussions.

Résumé:
L’examen anatomopathologique des tumeurs oculaires comporte des spécificités en termes… More >