F. Guillemin, F. Marchal, M. Geffroy

Oncologie, Vol.21, No.1, pp. 22-28, 2019, DOI:10.3166/onco-2019-0028

Abstract Purpose: Assessment of a second surgical conservative treatment (T) [N = 41] compared to total mastectomy (M) [N = 93] for ipsilateral breast tumor recurrence after initial breast conserving surgery in a retrospective study of 134 patients. Results: Five years global survival was 82.5% in each group. No statistical difference for the specific survival and survival without metastasis. The 5 years local control was 92.9% in group M and 66.2% in group T (RR = 4.48). Lymphovascular invasion (LVI), multifocal tumors, and clinical symptoms of the recurrence are pejorative factors for survival. Over the 134 patients, 25 have preserved their… More >

G. Oldrini, P. Henrot, F. Marchal

Oncologie, Vol.21, No.1, pp. 17-21, 2019, DOI:10.3166/onco-2019-0033

Abstract Breast cancer is the first female cancer in France and its early detection is essential. Breast MRI is an element of choice in its diagnosis but it has high direct and indirect costs because of its duration which slows down its wider use. Given its elements, the use of an abbreviated protocol develops to overcome these disadvantages. Early literature data suggests that this faster examination also allows for a shorter interpretation time. In addition, the sensitivity and specificity of the examination are not inferior to that of the complete protocol. This article explains the new concept and its interest, compares… More >

J. Boudier, G. Oldrini, C. Barlier, A. Lesur

Oncologie, Vol.21, No.1, pp. 11-16, 2019, DOI:10.3166/onco-2019-0034

Abstract When a breast cancer is diagnosed, the quality of the evaluation before treatment is essential to guide the therapeutic decision. The staging axillary is necessary because it estimates the regional extension of the disease, which makes it a paramount prognosis factor. Some different preoperative medical imaging can reveal metastasis axillary nodes. However, the axillary ultrasound remains the reference imaging and it also leads the biopsies too. Since theACOSOG-Z0011 trial, we are facing a therapeutic deescalation in the axillary surgery. According to recent results, we can note that the position of the axillary imaging is more and more important. The purpose… More >

S. Dejust

Oncologie, Vol.21, No.1, pp. 5-10, 2019, DOI:10.3166/onco-2019-0031

Abstract Axillary evaluation is a major step in the initial staging of breast cancer. Ultrasound guided biopsy is currently recommended in first-line. MRI and 18FDG PET/CT are useful in axillary lymph node evaluation. Imaging sensitivities and specificities are globally identical and their combination allows obtaining the best performances. Currently, sentinel node technique is essential in case of T1-T2 N0 mammary tumors and in case of suspected lymph node adenopathy with negative cytopuncture or microbiopsy.


Résumé
L’exploration préthérapeutique axillaire est une étape majeure du bilan initial du cancer du sein. L’échographie associée à un prélèvement est actuellement recommandée en première intention. L’IRM et la… More >

A. Lesur, F. Guillemin

Oncologie, Vol.21, No.1, pp. 3-4, 2019, DOI:10.3166/onco-2019-0032

Abstract This article has no abstract. More >

H. Magdelénat, J. Rouessé

Oncologie, Vol.21, No.1, pp. 1-2, 2019, DOI:10.3166/onco-2019-0022

Abstract This article has no abstract. More >

Yizhi Liu^1,2, Rutian Qing^1,2,*, Liangran Wu^1,2, Min Liu^1,2, Zhuhua Liao^1,2, Yijiang Zhao^1,2

Journal on Artificial Intelligence, Vol.3, No.1, pp. 33-43, 2021, DOI:10.32604/jai.2021.016565

Abstract In the large-scale logistics distribution of single logistic center, the method based on traditional genetic algorithm is slow in evolution and easy to fall into the local optimal solution. Addressing at this issue, we propose a novel approach of exploring hybrid genetic algorithm based large-scale logistic distribution for BBG supermarket. We integrate greedy algorithm and hillclimbing algorithm into genetic algorithm. Greedy algorithm is applied to initialize the population, and then hill-climbing algorithm is used to optimize individuals in each generation after selection, crossover and mutation. Our approach is evaluated on the dataset of BBG Supermarket which is one of the… More >

Xiaoyi Li, Xiaojun Pan, Yanbin Sun^*

Journal on Artificial Intelligence, Vol.3, No.1, pp. 21-31, 2021, DOI:10.32604/jai.2021.017328

Abstract The rise of the Internet of Things (IoT) exposes more and more important embedded devices to the network, which poses a serious threat to people’s lives and property. Therefore, ensuring the safety of embedded devices is a very important task. Fuzzing is currently the most effective technique for discovering vulnerabilities. In this work, we proposed PS-Fuzz (Protocol State Fuzz), a gray-box fuzzing technique based on protocol state orientation. By instrumenting the program that handles protocol fields in the firmware, the problem of lack of guidance information in common protocol fuzzing is solved. By recording and comparing state transition paths, the… More >

Kunkun Wang^1,2, Xianda Liu^2,3,4,*

Journal on Artificial Intelligence, Vol.3, No.1, pp. 9-19, 2021, DOI:10.32604/jai.2021.016706

Abstract With the development of Internet technology, the computing power of data has increased, and the development of machine learning has become faster and faster. In the industrial production of industrial control systems, quality inspection and safety production of process products have always been our concern. Aiming at the low accuracy of anomaly detection in process data in industrial control system, this paper proposes an anomaly detection method based on stacking integration using the machine learning algorithm. Data are collected from the industrial site and processed by feature engineering. Principal component analysis (PCA) and integrated rule tree method are adopted to… More >

Yuetian Wang, Chuanjing Zhang, Xuxin Liao, Xingang Wang, Zhaoquan Gu^*

Journal on Artificial Intelligence, Vol.3, No.1, pp. 1-8, 2021, DOI:10.32604/jai.2021.014175

Abstract Deep neural networks (DNNs) are widely adopted in daily life and the security problems of DNNs have drawn attention from both scientific researchers and industrial engineers. Many related works show that DNNs are vulnerable to adversarial examples that are generated with subtle perturbation to original images in both digital domain and physical domain. As a most common application of DNNs, face recognition systems are likely to cause serious consequences if they are attacked by the adversarial examples. In this paper, we implement an adversarial attack system for face recognition in both digital domain that generates adversarial face images to fool… More >